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Models/S-RCNN+Ours

S-RCNN+Ours

Reported on 10 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology8 results

  • 3DonCrowdHuman
    AP· 2022-03-15
    92.5
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 3DonCrowdHuman
    MR^-2· 2022-03-15
    41.4
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 2D ClassificationonCrowdHuman
    AP· 2022-03-15
    92.5
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 2D ClassificationonCrowdHuman
    MR^-2· 2022-03-15
    41.4
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 2D Object DetectiononCrowdHuman
    AP· 2022-03-15
    92.5
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 2D Object DetectiononCrowdHuman
    MR^-2· 2022-03-15
    41.4
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 16konCrowdHuman
    AP· 2022-03-15
    92.5
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • 16konCrowdHuman
    MR^-2· 2022-03-15
    41.4
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669

Computer Vision2 results

  • Object DetectiononCrowdHuman
    AP· 2022-03-15
    92.5
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669
  • Object DetectiononCrowdHuman
    MR^-2· 2022-03-15
    41.4
    SOTA
    Progressive End-to-End Object Detection in Crowded ScenesarXiv:2203.07669