TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Baseline-640x640

Baseline-640x640

Reported on 18 benchmarks across 6 tasks

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

Methodology12 results

  • 3DonSpiideo SoccerNet SynLoc
    F1
    83.6
    best: 89 (Baseline-960x960)
  • 3DonSpiideo SoccerNet SynLoc
    FrameAccuracy
    15.4
    best: 31.6 (Baseline-960x960)
  • 3DonSpiideo SoccerNet SynLoc
    mAP-LocSim
    67.8
    best: 79.3 (Baseline-960x960)
  • 2D ClassificationonSpiideo SoccerNet SynLoc
    F1
    83.6
    best: 89 (Baseline-960x960)
  • 2D ClassificationonSpiideo SoccerNet SynLoc
    FrameAccuracy
    15.4
    best: 31.6 (Baseline-960x960)
  • 2D ClassificationonSpiideo SoccerNet SynLoc
    mAP-LocSim
    67.8
    best: 79.3 (Baseline-960x960)
  • 2D Object DetectiononSpiideo SoccerNet SynLoc
    F1
    83.6
    best: 89 (Baseline-960x960)
  • 2D Object DetectiononSpiideo SoccerNet SynLoc
    FrameAccuracy
    15.4
    best: 31.6 (Baseline-960x960)
  • 2D Object DetectiononSpiideo SoccerNet SynLoc
    mAP-LocSim
    67.8
    best: 79.3 (Baseline-960x960)
  • 16konSpiideo SoccerNet SynLoc
    F1
    83.6
    best: 89 (Baseline-960x960)
  • 16konSpiideo SoccerNet SynLoc
    FrameAccuracy
    15.4
    best: 31.6 (Baseline-960x960)
  • 16konSpiideo SoccerNet SynLoc
    mAP-LocSim
    67.8
    best: 79.3 (Baseline-960x960)

Computer Vision6 results

  • Object DetectiononSpiideo SoccerNet SynLoc
    F1
    83.6
    best: 89 (Baseline-960x960)
  • Object DetectiononSpiideo SoccerNet SynLoc
    FrameAccuracy
    15.4
    best: 31.6 (Baseline-960x960)
  • Object DetectiononSpiideo SoccerNet SynLoc
    mAP-LocSim
    67.8
    best: 79.3 (Baseline-960x960)
  • 3D Object DetectiononSpiideo SoccerNet SynLoc
    F1
    83.6
    best: 89 (Baseline-960x960)
  • 3D Object DetectiononSpiideo SoccerNet SynLoc
    FrameAccuracy
    15.4
    best: 31.6 (Baseline-960x960)
  • 3D Object DetectiononSpiideo SoccerNet SynLoc
    mAP-LocSim
    67.8
    best: 79.3 (Baseline-960x960)