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Models/HDFNet

HDFNet

Reported on 14 benchmarks across 8 tasks · 1 paper · 9 SOTA

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

Methodology9 results

  • 3DonNJU2K
    Average MAE· 2020-07-13
    0.037
    best: 0.023 (DFormer-L)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 2D ClassificationonNJU2K
    Average MAE· 2020-07-13
    0.037
    best: 0.023 (DFormer-L)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 2D Object DetectiononNJU2K
    Average MAE· 2020-07-13
    0.037
    best: 0.023 (DFormer-L)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 2D Object DetectiononRGB-T-Glass-Segmentation
    MAE· 2020-07-13
    0.048
    best: 0.024 (RGB-T-Glass-Segmentation)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 16konNJU2K
    Average MAE· 2020-07-13
    0.037
    best: 0.023 (DFormer-L)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 3DonNJU2K
    S-Measure· 2020-07-13
    91.1
    best: 93.7 (DFormer-L)
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 2D ClassificationonNJU2K
    S-Measure· 2020-07-13
    91.1
    best: 93.7 (DFormer-L)
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 2D Object DetectiononNJU2K
    S-Measure· 2020-07-13
    91.1
    best: 93.7 (DFormer-L)
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • 16konNJU2K
    S-Measure· 2020-07-13
    91.1
    best: 93.7 (DFormer-L)
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227

Computer Vision3 results

  • Object DetectiononNJU2K
    Average MAE· 2020-07-13
    0.037
    best: 0.023 (DFormer-L)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • Scene SegmentationonRGB-T-Glass-Segmentation
    MAE· 2020-07-13
    0.048
    best: 0.024 (RGB-T-Glass-Segmentation)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227
  • Object DetectiononNJU2K
    S-Measure· 2020-07-13
    91.1
    best: 93.7 (DFormer-L)
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227

Medical1 result

  • Semantic SegmentationonRGB-T-Glass-Segmentation
    MAE· 2020-07-13
    0.048
    best: 0.024 (RGB-T-Glass-Segmentation)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227

Audio1 result

  • 10-shot image generationonRGB-T-Glass-Segmentation
    MAE· 2020-07-13
    0.048
    best: 0.024 (RGB-T-Glass-Segmentation)
    SOTA
    Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionarXiv:2007.06227