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Models/EDANet

EDANet

Reported on 12 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Medical6 results

  • Semantic SegmentationonCityscapes test
    Mean IoU (class)· 2018-09-17
    67.3
    best: 86.4 (VLTSeg)
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • Semantic SegmentationonCamVid
    Global Accuracy· 2018-09-17
    90.8
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • Semantic SegmentationonCityscapes test
    mIoU· 2018-09-17
    67.3
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • Semantic SegmentationonCamVid
    mIoU· 2018-09-17
    66.4
    best: 82 (PIDNet-M (Cityscapes-Pretrained))
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • Semantic SegmentationonCamVid
    Mean IoU· 2018-09-17
    66.4
    best: 84.62 (SERNet-Former)
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • Semantic SegmentationonCityscapes test
    Time (ms)· 2018-09-17
    9.2
    best: 4000 (DeepLab)
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323

Audio6 results

  • 10-shot image generationonCityscapes test
    Mean IoU (class)· 2018-09-17
    67.3
    best: 86.4 (VLTSeg)
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • 10-shot image generationonCamVid
    Global Accuracy· 2018-09-17
    90.8
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • 10-shot image generationonCityscapes test
    mIoU· 2018-09-17
    67.3
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • 10-shot image generationonCamVid
    mIoU· 2018-09-17
    66.4
    best: 82 (PIDNet-M (Cityscapes-Pretrained))
    SOTA
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • 10-shot image generationonCamVid
    Mean IoU· 2018-09-17
    66.4
    best: 84.62 (SERNet-Former)
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323
  • 10-shot image generationonCityscapes test
    Time (ms)· 2018-09-17
    9.2
    best: 4000 (DeepLab)
    Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationarXiv:1809.06323