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Models/Swin-L (UperNet, ImageNet-22k pretrain)

Swin-L (UperNet, ImageNet-22k pretrain)

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical3 results

Semantic SegmentationonADE20K val
mIoU· 2021-03-25
53.5
best: 62.8 (BEiT-3)
SOTA
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030
Semantic SegmentationonADE20K
Test Score· 2021-03-25
62.8
SOTA
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030
Semantic SegmentationonADE20K
Validation mIoU· 2021-03-25
53.5
best: 63.6 (ViT-P (InternImage-H))
SOTA
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030

Audio3 results

10-shot image generationonADE20K val
mIoU· 2021-03-25
53.5
best: 62.8 (BEiT-3)
SOTA
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030
10-shot image generationonADE20K
Test Score· 2021-03-25
62.8
SOTA
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030
10-shot image generationonADE20K
Validation mIoU· 2021-03-25
53.5
best: 63.6 (ViT-P (InternImage-H))
SOTA
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030