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Models/SAR

SAR

Reported on 33 benchmarks across 9 tasks · 1 paper

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

Computer Vision18 results

  • Scene ParsingonSVT
    Accuracy· 2018-11-02
    84.5
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • Scene ParsingonICDAR2015
    Accuracy· 2018-11-02
    69.2
    best: 93.5 (DTrOCR 105M)
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • Scene ParsingonICDAR2013
    Accuracy· 2018-11-02
    91
    best: 99.42 (CLIP4STR-L*)
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • Scene Text RecognitiononSVT
    Accuracy· 2018-11-02
    84.5
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • Scene Text RecognitiononICDAR2015
    Accuracy· 2018-11-02
    69.2
    best: 93.5 (DTrOCR 105M)
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • Scene Text RecognitiononICDAR2013
    Accuracy· 2018-11-02
    91
    best: 99.42 (CLIP4STR-L*)
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • HandonFreiHAND
    PA-F@15mm
    0.981
    best: 0.993 (ExtPose)
  • HandonFreiHAND
    PA-F@5mm
    0.724
    best: 0.825 (WiLoR)
  • HandonFreiHAND
    PA-MPJPE
    6.3
    best: 15.7 (DetNet)
  • HandonFreiHAND
    PA-MPVPE
    6.5
    best: 13.2 (Hasson et al.)
  • Pose EstimationonFreiHAND
    PA-F@15mm
    0.981
    best: 0.993 (ExtPose)
  • Pose EstimationonFreiHAND
    PA-F@5mm
    0.724
    best: 0.825 (WiLoR)
  • Pose EstimationonFreiHAND
    PA-MPJPE
    6.3
    best: 15.7 (DetNet)
  • Pose EstimationonFreiHAND
    PA-MPVPE
    6.5
    best: 13.2 (Hasson et al.)
  • 3D Hand Pose EstimationonFreiHAND
    PA-F@15mm
    0.981
    best: 0.993 (ExtPose)
  • 3D Hand Pose EstimationonFreiHAND
    PA-F@5mm
    0.724
    best: 0.825 (WiLoR)
  • 3D Hand Pose EstimationonFreiHAND
    PA-MPJPE
    6.3
    best: 15.7 (DetNet)
  • 3D Hand Pose EstimationonFreiHAND
    PA-MPVPE
    6.5
    best: 13.2 (Hasson et al.)

Audio7 results

  • 2D Semantic SegmentationonSVT
    Accuracy· 2018-11-02
    84.5
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • 2D Semantic SegmentationonICDAR2015
    Accuracy· 2018-11-02
    69.2
    best: 93.5 (DTrOCR 105M)
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • 2D Semantic SegmentationonICDAR2013
    Accuracy· 2018-11-02
    91
    best: 99.42 (CLIP4STR-L*)
    Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionarXiv:1811.00751
  • 1 Image, 2*2 StitchionFreiHAND
    PA-F@15mm
    0.981
    best: 0.993 (ExtPose)
  • 1 Image, 2*2 StitchionFreiHAND
    PA-F@5mm
    0.724
    best: 0.825 (WiLoR)
  • 1 Image, 2*2 StitchionFreiHAND
    PA-MPJPE
    6.3
    best: 15.7 (DetNet)
  • 1 Image, 2*2 StitchionFreiHAND
    PA-MPVPE
    6.5
    best: 13.2 (Hasson et al.)

Graphs4 results

  • Hand Pose EstimationonFreiHAND
    PA-F@15mm
    0.981
    best: 0.993 (ExtPose)
  • Hand Pose EstimationonFreiHAND
    PA-F@5mm
    0.724
    best: 0.825 (WiLoR)
  • Hand Pose EstimationonFreiHAND
    PA-MPJPE
    6.3
    best: 15.7 (DetNet)
  • Hand Pose EstimationonFreiHAND
    PA-MPVPE
    6.5
    best: 13.2 (Hasson et al.)

Methodology4 results

  • 3DonFreiHAND
    PA-F@15mm
    0.981
    best: 0.993 (ExtPose)
  • 3DonFreiHAND
    PA-F@5mm
    0.724
    best: 0.825 (WiLoR)
  • 3DonFreiHAND
    PA-MPJPE
    6.3
    best: 15.7 (DetNet)
  • 3DonFreiHAND
    PA-MPVPE
    6.5
    best: 13.2 (Hasson et al.)