1304 lines
54 KiB
YAML
1304 lines
54 KiB
YAML
Collections:
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- Name: PSPNet
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License: Apache License 2.0
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Metadata:
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Training Data:
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- Cityscapes
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- ADE20K
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- Pascal VOC 2012 + Aug
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- Pascal Context
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- Pascal Context 59
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- Dark Zurich and Nighttime Driving
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- COCO-Stuff 10k
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- COCO-Stuff 164k
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- LoveDA
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- Potsdam
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- Vaihingen
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- iSAID
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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README: configs/pspnet/README.md
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Frameworks:
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- PyTorch
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Models:
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- Name: pspnet_r50-d8_4xb2-40k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 77.85
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mIoU(ms+flip): 79.18
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Config: configs/pspnet/pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-50-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 6.1
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r101-d8_4xb2-40k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.34
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mIoU(ms+flip): 79.74
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Config: configs/pspnet/pspnet_r101-d8_4xb2-40k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-101-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 9.6
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes/pspnet_r101-d8_512x1024_40k_cityscapes_20200604_232751-467e7cf4.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes/pspnet_r101-d8_512x1024_40k_cityscapes_20200604_232751.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r50-d8_4xb2-40k_cityscapes-769x769
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.26
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mIoU(ms+flip): 79.88
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Config: configs/pspnet/pspnet_r50-d8_4xb2-40k_cityscapes-769x769.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-50-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 6.9
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_40k_cityscapes/pspnet_r50-d8_769x769_40k_cityscapes_20200606_112725-86638686.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_40k_cityscapes/pspnet_r50-d8_769x769_40k_cityscapes_20200606_112725.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r101-d8_4xb2-40k_cityscapes-769x769
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.08
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mIoU(ms+flip): 80.28
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Config: configs/pspnet/pspnet_r101-d8_4xb2-40k_cityscapes-769x769.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-101-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 10.9
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_40k_cityscapes/pspnet_r101-d8_769x769_40k_cityscapes_20200606_112753-61c6f5be.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_40k_cityscapes/pspnet_r101-d8_769x769_40k_cityscapes_20200606_112753.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r18-d8_4xb2-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 74.87
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mIoU(ms+flip): 76.04
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Config: configs/pspnet/pspnet_r18-d8_4xb2-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-18-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 1.7
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes/pspnet_r18-d8_512x1024_80k_cityscapes_20201225_021458-09ffa746.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes/pspnet_r18-d8_512x1024_80k_cityscapes-20201225_021458.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r50-d8_4xb2-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.55
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mIoU(ms+flip): 79.79
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Config: configs/pspnet/pspnet_r50-d8_4xb2-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-50-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_512x1024_80k_cityscapes_20200606_112131-2376f12b.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_512x1024_80k_cityscapes_20200606_112131.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r50-d8-rsb_4xb2-adamw-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.47
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mIoU(ms+flip): 79.45
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Config: configs/pspnet/pspnet_r50-d8-rsb_4xb2-adamw-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-50b-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 6.2
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220315_123238-588c30be.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220315_123238.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r101-d8_4xb2-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.76
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mIoU(ms+flip): 81.01
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Config: configs/pspnet/pspnet_r101-d8_4xb2-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-101-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes/pspnet_r101-d8_512x1024_80k_cityscapes_20200606_112211-e1e1100f.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes/pspnet_r101-d8_512x1024_80k_cityscapes_20200606_112211.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r101-d8_4xb2-amp-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.46
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Config: configs/pspnet/pspnet_r101-d8_4xb2-amp-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-101-D8
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- PSPNet
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- (FP16)
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Training Resources: 4x V100 GPUS
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Memory (GB): 5.34
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_fp16_512x1024_80k_cityscapes/pspnet_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230919-a0875e5c.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_fp16_512x1024_80k_cityscapes/pspnet_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230919.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r18-d8_4xb2-80k_cityscapes-769x769
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 75.9
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mIoU(ms+flip): 77.86
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Config: configs/pspnet/pspnet_r18-d8_4xb2-80k_cityscapes-769x769.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-18-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 1.9
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_769x769_80k_cityscapes/pspnet_r18-d8_769x769_80k_cityscapes_20201225_021458-3deefc62.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_769x769_80k_cityscapes/pspnet_r18-d8_769x769_80k_cityscapes-20201225_021458.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r50-d8_4xb2-80k_cityscapes-769x769
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.59
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mIoU(ms+flip): 80.69
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Config: configs/pspnet/pspnet_r50-d8_4xb2-80k_cityscapes-769x769.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-50-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_80k_cityscapes/pspnet_r50-d8_769x769_80k_cityscapes_20200606_210121-5ccf03dd.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_80k_cityscapes/pspnet_r50-d8_769x769_80k_cityscapes_20200606_210121.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r101-d8_4xb2-80k_cityscapes-769x769
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.77
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mIoU(ms+flip): 81.06
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Config: configs/pspnet/pspnet_r101-d8_4xb2-80k_cityscapes-769x769.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-101-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Weights: https://download.oz1z1penmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_80k_cityscapes/pspnet_r101-d8_769x769_80k_cityscapes_20200606_225055-dba412fa.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_80k_cityscapes/pspnet_r101-d8_769x769_80k_cityscapes_20200606_225055.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r18b-d8_4xb2-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 74.23
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mIoU(ms+flip): 75.79
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Config: configs/pspnet/pspnet_r18b-d8_4xb2-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-18b-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 1.5
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes/pspnet_r18b-d8_512x1024_80k_cityscapes_20201226_063116-26928a60.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes/pspnet_r18b-d8_512x1024_80k_cityscapes-20201226_063116.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.22
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mIoU(ms+flip): 79.46
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Config: configs/pspnet/pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 8
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Architecture:
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- R-50b-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 6.0
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|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes/pspnet_r50b-d8_512x1024_80k_cityscapes_20201225_094315-6344287a.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes/pspnet_r50b-d8_512x1024_80k_cityscapes-20201225_094315.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101b-d8_4xb2-80k_cityscapes-512x1024
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 79.69
|
|
mIoU(ms+flip): 80.79
|
|
Config: configs/pspnet/pspnet_r101b-d8_4xb2-80k_cityscapes-512x1024.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-101b-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.5
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes/pspnet_r101b-d8_512x1024_80k_cityscapes_20201226_170012-3a4d38ab.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes/pspnet_r101b-d8_512x1024_80k_cityscapes-20201226_170012.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r18b-d8_4xb2-80k_cityscapes-769x769
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 74.92
|
|
mIoU(ms+flip): 76.9
|
|
Config: configs/pspnet/pspnet_r18b-d8_4xb2-80k_cityscapes-769x769.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-18b-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 1.7
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes/pspnet_r18b-d8_769x769_80k_cityscapes_20201226_080942-bf98d186.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes/pspnet_r18b-d8_769x769_80k_cityscapes-20201226_080942.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50b-d8_4xb2-80k_cityscapes-769x769
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.5
|
|
mIoU(ms+flip): 79.96
|
|
Config: configs/pspnet/pspnet_r50b-d8_4xb2-80k_cityscapes-769x769.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-50b-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 6.8
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes/pspnet_r50b-d8_769x769_80k_cityscapes_20201225_094316-4c643cf6.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes/pspnet_r50b-d8_769x769_80k_cityscapes-20201225_094316.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101b-d8_4xb2-80k_cityscapes-769x769
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.87
|
|
mIoU(ms+flip): 80.04
|
|
Config: configs/pspnet/pspnet_r101b-d8_4xb2-80k_cityscapes-769x769.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-101b-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 10.8
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes/pspnet_r101b-d8_769x769_80k_cityscapes_20201226_171823-f0e7c293.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes/pspnet_r101b-d8_769x769_80k_cityscapes-20201226_171823.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 73.88
|
|
mIoU(ms+flip): 76.85
|
|
Config: configs/pspnet/pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-50-D32
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 3.0
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_512x1024_80k_cityscapes/pspnet_r50-d32_512x1024_80k_cityscapes_20220316_224840-9092b254.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_512x1024_80k_cityscapes/pspnet_r50-d32_512x1024_80k_cityscapes_20220316_224840.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d32_rsb_4xb2-adamw-80k_cityscapes-512x1024
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 74.09
|
|
mIoU(ms+flip): 77.18
|
|
Config: configs/pspnet/pspnet_r50-d32_rsb_4xb2-adamw-80k_cityscapes-512x1024.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-50b-D32
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 3.1
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220316_141229-dd9c9610.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes/pspnet_r50-d32_rsb-pretrain_512x1024_adamw_80k_cityscapes_20220316_141229.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 72.61
|
|
mIoU(ms+flip): 75.51
|
|
Config: configs/pspnet/pspnet_r50b-d32_4xb2-80k_cityscapes-512x1024.py
|
|
Metadata:
|
|
Training Data: Cityscapes
|
|
Batch Size: 8
|
|
Architecture:
|
|
- R-50b-D32
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 2.9
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d32_512x1024_80k_cityscapes/pspnet_r50b-d32_512x1024_80k_cityscapes_20220311_152152-23bcaf8c.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d32_512x1024_80k_cityscapes/pspnet_r50b-d32_512x1024_80k_cityscapes_20220311_152152.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-80k_ade20k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 41.13
|
|
mIoU(ms+flip): 41.94
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_ade20k-512x512.py
|
|
Metadata:
|
|
Training Data: ADE20K
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 8.5
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_ade20k/pspnet_r50-d8_512x512_80k_ade20k_20200615_014128-15a8b914.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_ade20k/pspnet_r50-d8_512x512_80k_ade20k_20200615_014128.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_ade20k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 43.57
|
|
mIoU(ms+flip): 44.35
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_ade20k-512x512.py
|
|
Metadata:
|
|
Training Data: ADE20K
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 12.0
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_ade20k/pspnet_r101-d8_512x512_80k_ade20k_20200614_031423-b6e782f0.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_ade20k/pspnet_r101-d8_512x512_80k_ade20k_20200614_031423.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-160k_ade20k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 42.48
|
|
mIoU(ms+flip): 43.44
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-160k_ade20k-512x512.py
|
|
Metadata:
|
|
Training Data: ADE20K
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_160k_ade20k/pspnet_r50-d8_512x512_160k_ade20k_20200615_184358-1890b0bd.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_160k_ade20k/pspnet_r50-d8_512x512_160k_ade20k_20200615_184358.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-160k_ade20k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 44.39
|
|
mIoU(ms+flip): 45.35
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-160k_ade20k-512x512.py
|
|
Metadata:
|
|
Training Data: ADE20K
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_160k_ade20k/pspnet_r101-d8_512x512_160k_ade20k_20200615_100650-967c316f.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_160k_ade20k/pspnet_r101-d8_512x512_160k_ade20k_20200615_100650.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-20k_voc12aug-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 76.78
|
|
mIoU(ms+flip): 77.61
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-20k_voc12aug-512x512.py
|
|
Metadata:
|
|
Training Data: Pascal VOC 2012 + Aug
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 6.1
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_20k_voc12aug/pspnet_r50-d8_512x512_20k_voc12aug_20200617_101958-ed5dfbd9.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_20k_voc12aug/pspnet_r50-d8_512x512_20k_voc12aug_20200617_101958.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-20k_voc12aug-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 78.47
|
|
mIoU(ms+flip): 79.25
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-20k_voc12aug-512x512.py
|
|
Metadata:
|
|
Training Data: Pascal VOC 2012 + Aug
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.6
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_20k_voc12aug/pspnet_r101-d8_512x512_20k_voc12aug_20200617_102003-4aef3c9a.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_20k_voc12aug/pspnet_r101-d8_512x512_20k_voc12aug_20200617_102003.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-40k_voc12aug-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 77.29
|
|
mIoU(ms+flip): 78.48
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-40k_voc12aug-512x512.py
|
|
Metadata:
|
|
Training Data: Pascal VOC 2012 + Aug
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_40k_voc12aug/pspnet_r50-d8_512x512_40k_voc12aug_20200613_161222-ae9c1b8c.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_40k_voc12aug/pspnet_r50-d8_512x512_40k_voc12aug_20200613_161222.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-40k_voc12aug-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 78.52
|
|
mIoU(ms+flip): 79.57
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_voc12aug-512x512.py
|
|
Metadata:
|
|
Training Data: Pascal VOC 2012 + Aug
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_40k_voc12aug/pspnet_r101-d8_512x512_40k_voc12aug_20200613_161222-bc933b18.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_40k_voc12aug/pspnet_r101-d8_512x512_40k_voc12aug_20200613_161222.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-40k_pascal-context-480x480
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal Context
|
|
Metrics:
|
|
mIoU: 46.6
|
|
mIoU(ms+flip): 47.78
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_pascal-context-480x480.py
|
|
Metadata:
|
|
Training Data: Pascal Context
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 8.8
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context/pspnet_r101-d8_480x480_40k_pascal_context_20200911_211210-bf0f5d7c.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context/pspnet_r101-d8_480x480_40k_pascal_context-20200911_211210.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_pascal-context-480x480
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal Context
|
|
Metrics:
|
|
mIoU: 46.03
|
|
mIoU(ms+flip): 47.15
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_pascal-context-480x480.py
|
|
Metadata:
|
|
Training Data: Pascal Context
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context/pspnet_r101-d8_480x480_80k_pascal_context_20200911_190530-c86d6233.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context/pspnet_r101-d8_480x480_80k_pascal_context-20200911_190530.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-40k_pascal-context-59-480x480
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal Context 59
|
|
Metrics:
|
|
mIoU: 52.02
|
|
mIoU(ms+flip): 53.54
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_pascal-context-59-480x480.py
|
|
Metadata:
|
|
Training Data: Pascal Context 59
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59/pspnet_r101-d8_480x480_40k_pascal_context_59_20210416_114524-86d44cd4.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59/pspnet_r101-d8_480x480_40k_pascal_context_59-20210416_114524.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_pascal-context-59-480x480
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Pascal Context 59
|
|
Metrics:
|
|
mIoU: 52.47
|
|
mIoU(ms+flip): 53.99
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_pascal-context-59-480x480.py
|
|
Metadata:
|
|
Training Data: Pascal Context 59
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59/pspnet_r101-d8_480x480_80k_pascal_context_59_20210416_114418-fa6caaa2.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59/pspnet_r101-d8_480x480_80k_pascal_context_59-20210416_114418.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-20k_coco-stuff10k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 10k
|
|
Metrics:
|
|
mIoU: 35.69
|
|
mIoU(ms+flip): 36.62
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-20k_coco-stuff10k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 10k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.6
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k_20210820_203258-b88df27f.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k_20210820_203258.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-20k_coco-stuff10k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 10k
|
|
Metrics:
|
|
mIoU: 37.26
|
|
mIoU(ms+flip): 38.52
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-20k_coco-stuff10k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 10k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 13.2
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k_20210820_232135-76aae482.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k_20210820_232135.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-40k_coco-stuff10k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 10k
|
|
Metrics:
|
|
mIoU: 36.33
|
|
mIoU(ms+flip): 37.24
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-40k_coco-stuff10k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 10k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k_20210821_030857-92e2902b.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k_20210821_030857.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-40k_coco-stuff10k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 10k
|
|
Metrics:
|
|
mIoU: 37.76
|
|
mIoU(ms+flip): 38.86
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-40k_coco-stuff10k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 10k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k_20210821_014022-831aec95.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k_20210821_014022.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-80k_coco-stuff164k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 164k
|
|
Metrics:
|
|
mIoU: 38.8
|
|
mIoU(ms+flip): 39.19
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_coco-stuff164k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 164k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.6
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034-0e41b2db.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_coco-stuff164k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 164k
|
|
Metrics:
|
|
mIoU: 40.34
|
|
mIoU(ms+flip): 40.79
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_coco-stuff164k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 164k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 13.2
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034-7eb41789.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k_20210707_152034.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-160k_coco-stuff164k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 164k
|
|
Metrics:
|
|
mIoU: 39.64
|
|
mIoU(ms+flip): 39.97
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-160k_coco-stuff164k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 164k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004-51276a57.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-160k_coco-stuff164k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: COCO-Stuff 164k
|
|
Metrics:
|
|
mIoU: 41.28
|
|
mIoU(ms+flip): 41.66
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-160k_coco-stuff164k-512x512.py
|
|
Metadata:
|
|
Training Data: COCO-Stuff 164k
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004-4af9621b.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k_20210707_152004.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-320k_coco-stuff164k-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
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Dataset: COCO-Stuff 164k
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Metrics:
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mIoU: 40.53
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mIoU(ms+flip): 40.75
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Config: configs/pspnet/pspnet_r50-d8_4xb4-320k_coco-stuff164k-512x512.py
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Metadata:
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Training Data: COCO-Stuff 164k
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Batch Size: 16
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Architecture:
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- R-50-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004-be9610cc.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004.log.json
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Paper:
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r101-d8_4xb4-320k_coco-stuff164k-512x512
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: COCO-Stuff 164k
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Metrics:
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mIoU: 41.95
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mIoU(ms+flip): 42.42
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Config: configs/pspnet/pspnet_r101-d8_4xb4-320k_coco-stuff164k-512x512.py
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Metadata:
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Training Data: COCO-Stuff 164k
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Batch Size: 16
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Architecture:
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- R-101-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004-72220c60.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k_20210707_152004.log.json
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Paper:
|
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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- Name: pspnet_r18-d8_4xb4-80k_loveda-512x512
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: LoveDA
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Metrics:
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mIoU: 48.62
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mIoU(ms+flip): 47.57
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Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_loveda-512x512.py
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Metadata:
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Training Data: LoveDA
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Batch Size: 16
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Architecture:
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- R-18-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 1.45
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x512_80k_loveda/pspnet_r18-d8_512x512_80k_loveda_20211105_052100-b97697f1.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x512_80k_loveda/pspnet_r18-d8_512x512_80k_loveda_20211105_052100.log.json
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Paper:
|
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Title: Pyramid Scene Parsing Network
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URL: https://arxiv.org/abs/1612.01105
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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Framework: PyTorch
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|
- Name: pspnet_r50-d8_4xb4-80k_loveda-512x512
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: LoveDA
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Metrics:
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|
mIoU: 50.46
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mIoU(ms+flip): 50.19
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|
Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_loveda-512x512.py
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|
Metadata:
|
|
Training Data: LoveDA
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|
Batch Size: 16
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|
Architecture:
|
|
- R-50-D8
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- PSPNet
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Training Resources: 4x V100 GPUS
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Memory (GB): 6.14
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|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_loveda/pspnet_r50-d8_512x512_80k_loveda_20211104_155728-88610f9f.pth
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|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_loveda/pspnet_r50-d8_512x512_80k_loveda_20211104_155728.log.json
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|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_loveda-512x512
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In Collection: PSPNet
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|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: LoveDA
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|
Metrics:
|
|
mIoU: 51.86
|
|
mIoU(ms+flip): 51.34
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|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_loveda-512x512.py
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|
Metadata:
|
|
Training Data: LoveDA
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|
Batch Size: 16
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|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.61
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|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_loveda/pspnet_r101-d8_512x512_80k_loveda_20211104_153212-1c06c6a8.pth
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|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_loveda/pspnet_r101-d8_512x512_80k_loveda_20211104_153212.log.json
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|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
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|
Framework: PyTorch
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|
- Name: pspnet_r18-d8_4xb4-80k_potsdam-512x512
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In Collection: PSPNet
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Results:
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Task: Semantic Segmentation
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Dataset: Potsdam
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|
Metrics:
|
|
mIoU: 77.09
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|
mIoU(ms+flip): 78.3
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|
Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_potsdam-512x512.py
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|
Metadata:
|
|
Training Data: Potsdam
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|
Batch Size: 16
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|
Architecture:
|
|
- R-18-D8
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|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 1.5
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|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_potsdam/pspnet_r18-d8_4x4_512x512_80k_potsdam_20211220_125612-7cd046e1.pth
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|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_potsdam/pspnet_r18-d8_4x4_512x512_80k_potsdam_20211220_125612.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-80k_potsdam-512x512
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|
In Collection: PSPNet
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|
Results:
|
|
Task: Semantic Segmentation
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|
Dataset: Potsdam
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|
Metrics:
|
|
mIoU: 78.12
|
|
mIoU(ms+flip): 78.98
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_potsdam-512x512.py
|
|
Metadata:
|
|
Training Data: Potsdam
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 6.14
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|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_potsdam/pspnet_r50-d8_4x4_512x512_80k_potsdam_20211219_043541-2dd5fe67.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_potsdam/pspnet_r50-d8_4x4_512x512_80k_potsdam_20211219_043541.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_potsdam-512x512
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|
In Collection: PSPNet
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|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Potsdam
|
|
Metrics:
|
|
mIoU: 78.62
|
|
mIoU(ms+flip): 79.47
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_potsdam-512x512.py
|
|
Metadata:
|
|
Training Data: Potsdam
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.61
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_potsdam/pspnet_r101-d8_4x4_512x512_80k_potsdam_20211220_125612-aed036c4.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_potsdam/pspnet_r101-d8_4x4_512x512_80k_potsdam_20211220_125612.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r18-d8_4xb4-80k_vaihingen-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Vaihingen
|
|
Metrics:
|
|
mIoU: 71.46
|
|
mIoU(ms+flip): 73.36
|
|
Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_vaihingen-512x512.py
|
|
Metadata:
|
|
Training Data: Vaihingen
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-18-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 1.45
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_vaihingen/pspnet_r18-d8_4x4_512x512_80k_vaihingen_20211228_160355-52a8a6f6.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_512x512_80k_vaihingen/pspnet_r18-d8_4x4_512x512_80k_vaihingen_20211228_160355.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-80k_vaihingen-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Vaihingen
|
|
Metrics:
|
|
mIoU: 72.36
|
|
mIoU(ms+flip): 73.75
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_vaihingen-512x512.py
|
|
Metadata:
|
|
Training Data: Vaihingen
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 6.14
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_vaihingen/pspnet_r50-d8_4x4_512x512_80k_vaihingen_20211228_160355-382f8f5b.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_512x512_80k_vaihingen/pspnet_r50-d8_4x4_512x512_80k_vaihingen_20211228_160355.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r101-d8_4xb4-80k_vaihingen-512x512
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: Vaihingen
|
|
Metrics:
|
|
mIoU: 72.61
|
|
mIoU(ms+flip): 74.18
|
|
Config: configs/pspnet/pspnet_r101-d8_4xb4-80k_vaihingen-512x512.py
|
|
Metadata:
|
|
Training Data: Vaihingen
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-101-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 9.61
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_vaihingen/pspnet_r101-d8_4x4_512x512_80k_vaihingen_20211231_230806-8eba0a09.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_4x4_512x512_80k_vaihingen/pspnet_r101-d8_4x4_512x512_80k_vaihingen_20211231_230806.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r18-d8_4xb4-80k_isaid-896x896
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: iSAID
|
|
Metrics:
|
|
mIoU: 60.22
|
|
mIoU(ms+flip): 61.25
|
|
Config: configs/pspnet/pspnet_r18-d8_4xb4-80k_isaid-896x896.py
|
|
Metadata:
|
|
Training Data: iSAID
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-18-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 4.52
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_896x896_80k_isaid/pspnet_r18-d8_4x4_896x896_80k_isaid_20220110_180526-e84c0b6a.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_4x4_896x896_80k_isaid/pspnet_r18-d8_4x4_896x896_80k_isaid_20220110_180526.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|
|
- Name: pspnet_r50-d8_4xb4-80k_isaid-896x896
|
|
In Collection: PSPNet
|
|
Results:
|
|
Task: Semantic Segmentation
|
|
Dataset: iSAID
|
|
Metrics:
|
|
mIoU: 65.36
|
|
mIoU(ms+flip): 66.48
|
|
Config: configs/pspnet/pspnet_r50-d8_4xb4-80k_isaid-896x896.py
|
|
Metadata:
|
|
Training Data: iSAID
|
|
Batch Size: 16
|
|
Architecture:
|
|
- R-50-D8
|
|
- PSPNet
|
|
Training Resources: 4x V100 GPUS
|
|
Memory (GB): 16.58
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_896x896_80k_isaid/pspnet_r50-d8_4x4_896x896_80k_isaid_20220110_180629-1f21dc32.pth
|
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_4x4_896x896_80k_isaid/pspnet_r50-d8_4x4_896x896_80k_isaid_20220110_180629.log.json
|
|
Paper:
|
|
Title: Pyramid Scene Parsing Network
|
|
URL: https://arxiv.org/abs/1612.01105
|
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/psp_head.py#L63
|
|
Framework: PyTorch
|