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Models/FTNet

FTNet

Reported on 12 benchmarks across 4 tasks

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

Medical3 results

  • Semantic SegmentationonSODA Dataset
    mIOU· uses extra data
    60.08
  • Semantic SegmentationonMFN Dataset
    mIOU
    47.12
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
  • Semantic SegmentationonSCUT-Seg Dataset
    mIOU· uses extra data
    66.73

Computer Vision3 results

  • Scene SegmentationonSODA Dataset
    mIOU· uses extra data
    60.08
  • Scene SegmentationonMFN Dataset
    mIOU
    47.12
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
  • Scene SegmentationonSCUT-Seg Dataset
    mIOU· uses extra data
    66.73

Methodology3 results

  • 2D Object DetectiononSODA Dataset
    mIOU· uses extra data
    60.08
  • 2D Object DetectiononMFN Dataset
    mIOU
    47.12
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
  • 2D Object DetectiononSCUT-Seg Dataset
    mIOU· uses extra data
    66.73

Audio3 results

  • 10-shot image generationonSODA Dataset
    mIOU· uses extra data
    60.08
  • 10-shot image generationonMFN Dataset
    mIOU
    47.12
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
  • 10-shot image generationonSCUT-Seg Dataset
    mIOU· uses extra data
    66.73