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/R3-CNN (ResNet-50-FPN)

R3-CNN (ResNet-50-FPN)

Reported on 36 benchmarks across 6 tasks · 1 paper

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

Methodology24 results

  • 3DonCOCO minival
    AP50· 2021-04-03
    61
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 3DonCOCO minival
    AP75· 2021-04-03
    46.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 3DonCOCO minival
    APL· 2021-04-03
    55.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 3DonCOCO minival
    APM· 2021-04-03
    45.2
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 3DonCOCO minival
    APS· 2021-04-03
    24.5
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 3DonCOCO minival
    box AP· 2021-04-03
    42
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    AP50· 2021-04-03
    61
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    AP75· 2021-04-03
    46.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    APL· 2021-04-03
    55.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    APM· 2021-04-03
    45.2
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    APS· 2021-04-03
    24.5
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    box AP· 2021-04-03
    42
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    AP50· 2021-04-03
    61
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    AP75· 2021-04-03
    46.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    APL· 2021-04-03
    55.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    APM· 2021-04-03
    45.2
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    APS· 2021-04-03
    24.5
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    box AP· 2021-04-03
    42
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    AP50· 2021-04-03
    61
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    AP75· 2021-04-03
    46.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    APL· 2021-04-03
    55.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    APM· 2021-04-03
    45.2
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    APS· 2021-04-03
    24.5
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    box AP· 2021-04-03
    42
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329

Computer Vision12 results

  • Object DetectiononCOCO minival
    AP50· 2021-04-03
    61
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    AP75· 2021-04-03
    46.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    APL· 2021-04-03
    55.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    APM· 2021-04-03
    45.2
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    APS· 2021-04-03
    24.5
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    box AP· 2021-04-03
    42
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    AP50· 2021-04-03
    58
    best: 80.1 (InternImage-H)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    AP75· 2021-04-03
    41.4
    best: 62.8 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    APL· 2021-04-03
    52.8
    best: 74.6 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    APM· 2021-04-03
    41
    best: 59.7 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    APS· 2021-04-03
    20.4
    best: 38.9 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    mask AP· 2021-04-03
    38.2
    best: 56.6 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329