108 lines
4.1 KiB
YAML
108 lines
4.1 KiB
YAML
Collections:
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- Name: STDC
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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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Paper:
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Title: Rethinking BiSeNet For Real-time Semantic Segmentation
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URL: https://arxiv.org/abs/2104.13188
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README: configs/stdc/README.md
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Frameworks:
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- PyTorch
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Models:
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- Name: stdc1_4xb12-80k_cityscapes-512x1024
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In Collection: STDC
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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: 71.82
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mIoU(ms+flip): 73.89
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Config: configs/stdc/stdc1_4xb12-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 48
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Architecture:
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- STDC1
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- STDC
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Training Resources: 4x V100 GPUS
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Memory (GB): 7.15
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_512x1024_80k_cityscapes/stdc1_512x1024_80k_cityscapes_20220224_073048-74e6920a.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_512x1024_80k_cityscapes/stdc1_512x1024_80k_cityscapes_20220224_073048.log.json
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Paper:
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Title: Rethinking BiSeNet For Real-time Semantic Segmentation
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URL: https://arxiv.org/abs/2104.13188
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394
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Framework: PyTorch
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- Name: stdc1_in1k-pre_4xb12-80k_cityscapes-512x1024
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In Collection: STDC
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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: 74.94
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mIoU(ms+flip): 76.97
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Config: configs/stdc/stdc1_in1k-pre_4xb12-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 48
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Architecture:
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- STDC1
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- STDC
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes/stdc1_in1k-pre_512x1024_80k_cityscapes_20220224_141648-3d4c2981.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes/stdc1_in1k-pre_512x1024_80k_cityscapes_20220224_141648.log.json
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Paper:
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Title: Rethinking BiSeNet For Real-time Semantic Segmentation
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URL: https://arxiv.org/abs/2104.13188
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394
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Framework: PyTorch
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- Name: stdc2_4xb12-80k_cityscapes-512x1024
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In Collection: STDC
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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: 73.15
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mIoU(ms+flip): 76.13
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Config: configs/stdc/stdc2_4xb12-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 48
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Architecture:
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- STDC2
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- STDC
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Training Resources: 4x V100 GPUS
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Memory (GB): 8.27
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_512x1024_80k_cityscapes/stdc2_512x1024_80k_cityscapes_20220222_132015-fb1e3a1a.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_512x1024_80k_cityscapes/stdc2_512x1024_80k_cityscapes_20220222_132015.log.json
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Paper:
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Title: Rethinking BiSeNet For Real-time Semantic Segmentation
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URL: https://arxiv.org/abs/2104.13188
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394
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Framework: PyTorch
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- Name: stdc2_in1k-pre_4xb12-80k_cityscapes-512x1024
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In Collection: STDC
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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: 76.67
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mIoU(ms+flip): 78.67
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Config: configs/stdc/stdc2_in1k-pre_4xb12-80k_cityscapes-512x1024.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 48
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Architecture:
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- STDC2
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- STDC
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Training Resources: 4x V100 GPUS
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes/stdc2_in1k-pre_512x1024_80k_cityscapes_20220224_073048-1f8f0f6c.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes/stdc2_in1k-pre_512x1024_80k_cityscapes_20220224_073048.log.json
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Paper:
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Title: Rethinking BiSeNet For Real-time Semantic Segmentation
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URL: https://arxiv.org/abs/2104.13188
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394
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Framework: PyTorch
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