50 lines
2.0 KiB
YAML
50 lines
2.0 KiB
YAML
Models:
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- Name: beit-base_upernet_8xb2-160k_ade20k-640x640
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In Collection: UPerNet
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Results:
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Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 53.08
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mIoU(ms+flip): 53.84
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Config: configs/beit/beit-base_upernet_8xb2-160k_ade20k-640x640.py
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Metadata:
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Training Data: ADE20K
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Batch Size: 16
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Architecture:
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- BEiT-B
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- UPerNet
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Training Resources: 8x V100 GPUS
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Memory (GB): 15.88
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/beit/upernet_beit-base_8x2_640x640_160k_ade20k/upernet_beit-base_8x2_640x640_160k_ade20k-eead221d.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/beit/upernet_beit-base_8x2_640x640_160k_ade20k/upernet_beit-base_8x2_640x640_160k_ade20k.log.json
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Paper:
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Title: 'BEiT: BERT Pre-Training of Image Transformers'
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URL: https://arxiv.org/abs/2106.08254
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.23.0/mmseg/models/backbones/beit.py#1404
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Framework: PyTorch
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- Name: beit-large_upernet_8xb1-amp-160k_ade20k-640x640
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In Collection: UPerNet
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Results:
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Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 56.33
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mIoU(ms+flip): 56.84
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Config: configs/beit/beit-large_upernet_8xb1-amp-160k_ade20k-640x640.py
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Metadata:
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Training Data: ADE20K
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Batch Size: 8
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Architecture:
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- BEiT-L
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- UPerNet
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Training Resources: 8x V100 GPUS
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Memory (GB): 22.64
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/beit/upernet_beit-large_fp16_8x1_640x640_160k_ade20k/upernet_beit-large_fp16_8x1_640x640_160k_ade20k-8fc0dd5d.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/beit/upernet_beit-large_fp16_8x1_640x640_160k_ade20k/upernet_beit-large_fp16_8x1_640x640_160k_ade20k.log.json
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Paper:
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Title: 'BEiT: BERT Pre-Training of Image Transformers'
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URL: https://arxiv.org/abs/2106.08254
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.23.0/mmseg/models/backbones/beit.py#1404
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Framework: PyTorch
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