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| 1 | +Collections: |
| 2 | +- Name: SAN |
| 3 | + License: Apache License 2.0 |
| 4 | + Metadata: |
| 5 | + Training Data: |
| 6 | + - COCO-Stuff 164k |
| 7 | + Paper: |
| 8 | + Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation' |
| 9 | + URL: https://arxiv.org/abs/2302.12242 |
| 10 | + README: configs/san/README.md |
| 11 | + Frameworks: |
| 12 | + - PyTorch |
| 13 | +Models: |
| 14 | +- Name: san-vit-b16_coco-stuff164k-640x640 |
| 15 | + In Collection: SAN |
| 16 | + Results: |
| 17 | + Task: Semantic Segmentation |
| 18 | + Dataset: COCO-Stuff 164k |
| 19 | + Metrics: |
| 20 | + mIoU: 41.93 |
| 21 | + mIoU(ms+flip): 41.77 |
| 22 | + Config: configs/san/san-vit-b16_coco-stuff164k-640x640.py |
| 23 | + Metadata: |
| 24 | + Training Data: COCO-Stuff 164k |
| 25 | + Batch Size: 16 |
| 26 | + Architecture: |
| 27 | + - SAN |
| 28 | + - ViT |
| 29 | + Training Resources: 8x V100 GPUS |
| 30 | + Memory (GB): 12.61 |
| 31 | + Weights: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-b16_20230906-fd0a7684.pth |
| 32 | + Training log: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-b16_20230906.log |
| 33 | + Paper: |
| 34 | + Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation' |
| 35 | + URL: https://arxiv.org/abs/2302.12242 |
| 36 | + Code: https://github.com/open-mmlab/mmsegmentation/blob/dev-1.x/mmseg/models/decode_heads/san_head.py#L470 |
| 37 | + Framework: PyTorch |
| 38 | +- Name: san-vit-l14_coco-stuff164k-640x640 |
| 39 | + In Collection: SAN |
| 40 | + Results: |
| 41 | + Task: Semantic Segmentation |
| 42 | + Dataset: COCO-Stuff 164k |
| 43 | + Metrics: |
| 44 | + mIoU: 45.78 |
| 45 | + mIoU(ms+flip): 43.99 |
| 46 | + Config: configs/san/san-vit-l14_coco-stuff164k-640x640.py |
| 47 | + Metadata: |
| 48 | + Training Data: COCO-Stuff 164k |
| 49 | + Batch Size: 16 |
| 50 | + Architecture: |
| 51 | + - SAN |
| 52 | + - ViT |
| 53 | + Training Resources: 8x V100 GPUS |
| 54 | + Memory (GB): 12.61 |
| 55 | + Weights: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-l14_20230907-a11e098f.pth |
| 56 | + Training log: https://download.openmmlab.com/mmsegmentation/v0.5/san/san-vit-l14_20230907.log |
| 57 | + Paper: |
| 58 | + Title: 'Side Adapter Network for Open-Vocabulary Semantic Segmentation' |
| 59 | + URL: https://arxiv.org/abs/2302.12242 |
| 60 | + Code: https://github.com/open-mmlab/mmsegmentation/blob/dev-1.x/mmseg/models/decode_heads/san_head.py#L470 |
| 61 | + Framework: PyTorch |
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