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Models/SenFormer (Swin-L)

SenFormer (Swin-L)

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

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

Medical3 results

Semantic SegmentationonPASCAL Context
mIoU· 2021-11-26
64
best: 71.1 (VPNeXt)
SOTA
Efficient Self-Ensemble for Semantic Segmentation arXiv:2111.13280
Semantic SegmentationonADE20K val
mIoU· 2021-11-26
54.2
best: 62.8 (BEiT-3)
Efficient Self-Ensemble for Semantic Segmentation arXiv:2111.13280
Semantic SegmentationonADE20K
Validation mIoU· uses extra data· 2021-11-26
54.2
best: 63.6 (ViT-P (InternImage-H))
Efficient Self-Ensemble for Semantic Segmentation arXiv:2111.13280

Audio3 results

10-shot image generationonPASCAL Context
mIoU· 2021-11-26
64
best: 71.1 (VPNeXt)
SOTA
Efficient Self-Ensemble for Semantic Segmentation arXiv:2111.13280
10-shot image generationonADE20K val
mIoU· 2021-11-26
54.2
best: 62.8 (BEiT-3)
Efficient Self-Ensemble for Semantic Segmentation arXiv:2111.13280
10-shot image generationonADE20K
Validation mIoU· uses extra data· 2021-11-26
54.2
best: 63.6 (ViT-P (InternImage-H))
Efficient Self-Ensemble for Semantic Segmentation arXiv:2111.13280