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Models/DC-Swin

DC-Swin

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Medical5 results

Semantic SegmentationonISPRS Vaihingen
Average F1· 2021-04-25
90.7
best: 93.7 (EfficientUNets and Transformers)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
Semantic SegmentationonISPRS Vaihingen
Overall Accuracy· 2021-04-25
91.6
best: 93.6 (LSKNet-S)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
Semantic SegmentationonISPRS Potsdam
Mean F1· uses extra data· 2021-04-25
93.25
best: 94.7 (D2LS)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
Semantic SegmentationonISPRS Potsdam
Mean IoU· uses extra data· 2021-04-25
87.56
best: 89.45 (U-Net (ConvFormer-M36))
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
Semantic SegmentationonISPRS Potsdam
Overall Accuracy· uses extra data· 2021-04-25
92
best: 93.9 (AerialFormer-B)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137

Audio5 results

10-shot image generationonISPRS Vaihingen
Average F1· 2021-04-25
90.7
best: 93.7 (EfficientUNets and Transformers)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
10-shot image generationonISPRS Vaihingen
Overall Accuracy· 2021-04-25
91.6
best: 93.6 (LSKNet-S)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
10-shot image generationonISPRS Potsdam
Mean F1· uses extra data· 2021-04-25
93.25
best: 94.7 (D2LS)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
10-shot image generationonISPRS Potsdam
Mean IoU· uses extra data· 2021-04-25
87.56
best: 89.45 (U-Net (ConvFormer-M36))
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137
10-shot image generationonISPRS Potsdam
Overall Accuracy· uses extra data· 2021-04-25
92
best: 93.9 (AerialFormer-B)
SOTA
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images arXiv:2104.12137