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metafile.yaml
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Collections:
- Name: SAN
License: Apache License 2.0
Metadata:
Training Data:
- COCO-Stuff 164k
Paper:
Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation'
URL: https://arxiv.org/abs/2302.12242
README: configs/san/README.md
Frameworks:
- PyTorch
Models:
- Name: san-vit-b16_coco-stuff164k-640x640
In Collection: SAN
Results:
Task: Semantic Segmentation
Dataset: COCO-Stuff 164k
Metrics:
mIoU: 41.93
mIoU(ms+flip): 41.77
Config: configs/san/san-vit-b16_coco-stuff164k-640x640.py
Metadata:
Training Data: COCO-Stuff 164k
Batch Size: 16
Architecture:
- SAN
- ViT
Training Resources: 8x V100 GPUS
Memory (GB): 12.61
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-b16_20230906-fd0a7684.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-b16_20230906.log
Paper:
Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation'
URL: https://arxiv.org/abs/2302.12242
Code: https://github.com/open-mmlab/mmsegmentation/blob/dev-1.x/mmseg/models/decode_heads/san_head.py#L470
Framework: PyTorch
- Name: san-vit-l14_coco-stuff164k-640x640
In Collection: SAN
Results:
Task: Semantic Segmentation
Dataset: COCO-Stuff 164k
Metrics:
mIoU: 45.78
mIoU(ms+flip): 43.99
Config: configs/san/san-vit-l14_coco-stuff164k-640x640.py
Metadata:
Training Data: COCO-Stuff 164k
Batch Size: 16
Architecture:
- SAN
- ViT
Training Resources: 8x V100 GPUS
Memory (GB): 12.61
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-l14_20230907-a11e098f.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-l14_20230907.log
Paper:
Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation'
URL: https://arxiv.org/abs/2302.12242
Code: https://github.com/open-mmlab/mmsegmentation/blob/dev-1.x/mmseg/models/decode_heads/san_head.py#L470
Framework: PyTorch