mirror of
https://github.com/open-mmlab/mmsegmentation.git
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62 lines
2.0 KiB
YAML
62 lines
2.0 KiB
YAML
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- Name: SAN
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License: Apache License 2.0
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Metadata:
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Training Data:
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- COCO-Stuff 164k
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Paper:
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Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation'
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URL: https://arxiv.org/abs/2302.12242
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README: configs/san/README.md
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Frameworks:
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- PyTorch
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Models:
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- Name: san-vit-b16_coco-stuff164k-640x640
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In Collection: SAN
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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: 41.93
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mIoU(ms+flip): 41.77
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Config: configs/san/san-vit-b16_coco-stuff164k-640x640.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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- SAN
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- ViT
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Training Resources: 8x V100 GPUS
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Memory (GB): 12.61
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-b16_20230906-fd0a7684.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-b16_20230906.log
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Paper:
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Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation'
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URL: https://arxiv.org/abs/2302.12242
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Code: https://github.com/open-mmlab/mmsegmentation/blob/dev-1.x/mmseg/models/decode_heads/san_head.py#L470
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Framework: PyTorch
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- Name: san-vit-l14_coco-stuff164k-640x640
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In Collection: SAN
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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: 45.78
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mIoU(ms+flip): 43.99
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Config: configs/san/san-vit-l14_coco-stuff164k-640x640.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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- SAN
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- ViT
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Training Resources: 8x V100 GPUS
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Memory (GB): 12.61
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-l14_20230907-a11e098f.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-l14_20230907.log
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Paper:
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Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation'
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URL: https://arxiv.org/abs/2302.12242
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Code: https://github.com/open-mmlab/mmsegmentation/blob/dev-1.x/mmseg/models/decode_heads/san_head.py#L470
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Framework: PyTorch
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