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Models/FT-UNetFormer

FT-UNetFormer

Reported on 12 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.

Medical6 results

  • Semantic SegmentationonISPRS Vaihingen
    Average F1· 2021-09-18
    91.3
    best: 93.7 (EfficientUNets and Transformers)
    SOTA
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • Semantic SegmentationonISPRS Vaihingen
    Category mIoU· 2021-09-18
    84.1
    best: 85.1 (LSKNet-S)
    SOTA
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • Semantic SegmentationonISPRS Potsdam
    Mean F1· uses extra data· 2021-09-18
    93.3
    best: 94.7 (D2LS)
    SOTA
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • Semantic SegmentationonISPRS Vaihingen
    Overall Accuracy· 2021-09-18
    91.6
    best: 93.6 (LSKNet-S)
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • Semantic SegmentationonISPRS Potsdam
    Mean IoU· uses extra data· 2021-09-18
    87.5
    best: 89.45 (U-Net (ConvFormer-M36))
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • Semantic SegmentationonISPRS Potsdam
    Overall Accuracy· uses extra data· 2021-09-18
    92
    best: 93.9 (AerialFormer-B)
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937

Audio6 results

  • 10-shot image generationonISPRS Vaihingen
    Average F1· 2021-09-18
    91.3
    best: 93.7 (EfficientUNets and Transformers)
    SOTA
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • 10-shot image generationonISPRS Vaihingen
    Category mIoU· 2021-09-18
    84.1
    best: 85.1 (LSKNet-S)
    SOTA
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • 10-shot image generationonISPRS Potsdam
    Mean F1· uses extra data· 2021-09-18
    93.3
    best: 94.7 (D2LS)
    SOTA
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • 10-shot image generationonISPRS Vaihingen
    Overall Accuracy· 2021-09-18
    91.6
    best: 93.6 (LSKNet-S)
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • 10-shot image generationonISPRS Potsdam
    Mean IoU· uses extra data· 2021-09-18
    87.5
    best: 89.45 (U-Net (ConvFormer-M36))
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937
  • 10-shot image generationonISPRS Potsdam
    Overall Accuracy· uses extra data· 2021-09-18
    92
    best: 93.9 (AerialFormer-B)
    UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryarXiv:2109.08937