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Models/MattNet

MattNet

Reported on 20 benchmarks across 2 tasks · 2 papers · 12 SOTA

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

Computer Vision20 results

  • Instance SegmentationonRefCoCo val
    Overall IoU· 2018-01-24
    56.51
    best: 85.41 (DeRIS-L)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Instance SegmentationonRefCOCO+ val
    Overall IoU· 2018-01-24
    46.67
    best: 79.4 (MLCD-Seg-7B)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Instance SegmentationonRefCOCO+ test B
    Overall IoU· 2018-01-24
    40.08
    best: 75.6 (MLCD-Seg-7B)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Instance SegmentationonRefCOCO+ testA
    Overall IoU· 2018-01-24
    52.39
    best: 83.5 (HyperSeg)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Instance SegmentationongRefCOCO
    cIoU· 2018-01-24
    47.51
    best: 72 (DeRIS-L)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Instance SegmentationongRefCOCO
    gIoU· 2018-01-24
    48.24
    best: 77.67 (DeRIS-L)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Referring Expression SegmentationonRefCoCo val
    Overall IoU· 2018-01-24
    56.51
    best: 85.41 (DeRIS-L)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Referring Expression SegmentationonRefCOCO+ val
    Overall IoU· 2018-01-24
    46.67
    best: 79.4 (MLCD-Seg-7B)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Referring Expression SegmentationonRefCOCO+ test B
    Overall IoU· 2018-01-24
    40.08
    best: 75.6 (MLCD-Seg-7B)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Referring Expression SegmentationonRefCOCO+ testA
    Overall IoU· 2018-01-24
    52.39
    best: 83.5 (HyperSeg)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Referring Expression SegmentationongRefCOCO
    cIoU· 2018-01-24
    47.51
    best: 72 (DeRIS-L)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Referring Expression SegmentationongRefCOCO
    gIoU· 2018-01-24
    48.24
    best: 77.67 (DeRIS-L)
    SOTA
    MAttNet: Modular Attention Network for Referring Expression ComprehensionarXiv:1801.08186
  • Instance SegmentationonPhraseCut
    Mean IoU· 2020-08-03
    20.2
    best: 61.3 (GLIPv2)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Instance SegmentationonPhraseCut
    Pr@0.5· 2020-08-03
    19.7
    best: 57.5 (MDETR ENB3)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Instance SegmentationonPhraseCut
    Pr@0.7· 2020-08-03
    13.5
    best: 39.9 (MDETR ENB3)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Instance SegmentationonPhraseCut
    Pr@0.9· 2020-08-03
    3
    best: 11.9 (MDETR ENB3)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Referring Expression SegmentationonPhraseCut
    Mean IoU· 2020-08-03
    20.2
    best: 61.3 (GLIPv2)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Referring Expression SegmentationonPhraseCut
    Pr@0.5· 2020-08-03
    19.7
    best: 57.5 (MDETR ENB3)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Referring Expression SegmentationonPhraseCut
    Pr@0.7· 2020-08-03
    13.5
    best: 39.9 (MDETR ENB3)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187
  • Referring Expression SegmentationonPhraseCut
    Pr@0.9· 2020-08-03
    3
    best: 11.9 (MDETR ENB3)
    PhraseCut: Language-based Image Segmentation in the WildarXiv:2008.01187