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/GLEE-Plus

GLEE-Plus

Reported on 38 benchmarks across 10 tasks · 1 paper · 2 SOTA

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

Computer Vision30 results

  • Multi-Object TrackingonTAO
    ClsA· uses extra data· 2023-12-14
    30.8
    best: 41.7 (AED (Co-DETR))
    SOTA
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Object TrackingonTAO
    ClsA· uses extra data· 2023-12-14
    30.8
    best: 41.7 (AED (Co-DETR))
    SOTA
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonRefer-YouTube-VOS
    F· uses extra data· 2023-12-14
    69.7
    best: 75.7 (FindTrack)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonRefer-YouTube-VOS
    J· uses extra data· 2023-12-14
    65.6
    best: 71.8 (FindTrack)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonRefer-YouTube-VOS
    J&F· uses extra data· 2023-12-14
    67.7
    best: 73.7 (FindTrack)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonBURST-val
    HOTA (all)· uses extra data· 2023-12-14
    26.9
    best: 61.2 (Cutie (base, MEGA, 600 pixels))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonBURST-val
    HOTA (com)· uses extra data· 2023-12-14
    38.8
    best: 48.7 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonBURST-val
    HOTA (unc)· uses extra data· 2023-12-14
    23.9
    best: 26.9 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonBURST-val
    mAP (all)· uses extra data· 2023-12-14
    17.2
    best: 19.2 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonBURST-val
    mAP (com)· uses extra data· 2023-12-14
    23.7
    best: 24.8 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • VideoonBURST-val
    mAP (unc)· uses extra data· 2023-12-14
    15.5
    best: 17.7 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Multi-Object TrackingonTAO
    AssocA· uses extra data· 2023-12-14
    40.9
    best: 52.4 (AED (Co-DETR))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Multi-Object TrackingonTAO
    LocA· uses extra data· 2023-12-14
    52.9
    best: 71.8 (AED (Co-DETR))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Multi-Object TrackingonTAO
    TETA· uses extra data· 2023-12-14
    41.5
    best: 55.3 (AED (Co-DETR))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Object TrackingonTAO
    AssocA· uses extra data· 2023-12-14
    40.9
    best: 52.4 (AED (Co-DETR))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Object TrackingonTAO
    LocA· uses extra data· 2023-12-14
    52.9
    best: 71.8 (AED (Co-DETR))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Object TrackingonTAO
    TETA· uses extra data· 2023-12-14
    41.5
    best: 55.3 (AED (Co-DETR))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Object DetectiononCOCO test-dev
    box mAP· 2023-12-14
    60.6
    best: 66 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Object DetectiononCOCO minival
    box AP· uses extra data· 2023-12-14
    60.4
    best: 66 (PE_spatial (DETA))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Instance SegmentationonCOCO minival
    mask AP· uses extra data· 2023-12-14
    53
    best: 56.6 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Instance SegmentationonCOCO test-dev
    mask AP· uses extra data· 2023-12-14
    53.3
    best: 57.1 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonRefer-YouTube-VOS
    F· uses extra data· 2023-12-14
    69.7
    best: 75.7 (FindTrack)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonRefer-YouTube-VOS
    J· uses extra data· 2023-12-14
    65.6
    best: 71.8 (FindTrack)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonRefer-YouTube-VOS
    J&F· uses extra data· 2023-12-14
    67.7
    best: 73.7 (FindTrack)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonBURST-val
    HOTA (all)· uses extra data· 2023-12-14
    26.9
    best: 61.2 (Cutie (base, MEGA, 600 pixels))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonBURST-val
    HOTA (com)· uses extra data· 2023-12-14
    38.8
    best: 48.7 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonBURST-val
    HOTA (unc)· uses extra data· 2023-12-14
    23.9
    best: 26.9 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonBURST-val
    mAP (all)· uses extra data· 2023-12-14
    17.2
    best: 19.2 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonBURST-val
    mAP (com)· uses extra data· 2023-12-14
    23.7
    best: 24.8 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • Video Object SegmentationonBURST-val
    mAP (unc)· uses extra data· 2023-12-14
    15.5
    best: 17.7 (GLEE-Pro)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158

Methodology8 results

  • 3DonCOCO test-dev
    box mAP· 2023-12-14
    60.6
    best: 66 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 3DonCOCO minival
    box AP· uses extra data· 2023-12-14
    60.4
    best: 66 (PE_spatial (DETA))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 2D ClassificationonCOCO test-dev
    box mAP· 2023-12-14
    60.6
    best: 66 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 2D ClassificationonCOCO minival
    box AP· uses extra data· 2023-12-14
    60.4
    best: 66 (PE_spatial (DETA))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 2D Object DetectiononCOCO test-dev
    box mAP· 2023-12-14
    60.6
    best: 66 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 2D Object DetectiononCOCO minival
    box AP· uses extra data· 2023-12-14
    60.4
    best: 66 (PE_spatial (DETA))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 16konCOCO test-dev
    box mAP· 2023-12-14
    60.6
    best: 66 (Co-DETR)
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158
  • 16konCOCO minival
    box AP· uses extra data· 2023-12-14
    60.4
    best: 66 (PE_spatial (DETA))
    General Object Foundation Model for Images and Videos at ScalearXiv:2312.09158