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Models/R3-CNN (ResNet-50-FPN, DCN)

R3-CNN (ResNet-50-FPN, DCN)

Reported on 36 benchmarks across 6 tasks · 1 paper · 2 SOTA

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
    64.3
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 3DonCOCO minival
    AP75· 2021-04-03
    48.9
    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
    59.6
    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
    48.3
    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
    26.6
    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
    44.8
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    AP50· 2021-04-03
    64.3
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D ClassificationonCOCO minival
    AP75· 2021-04-03
    48.9
    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
    59.6
    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
    48.3
    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
    26.6
    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
    44.8
    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
    64.3
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 2D Object DetectiononCOCO minival
    AP75· 2021-04-03
    48.9
    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
    59.6
    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
    48.3
    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
    26.6
    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
    44.8
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    AP50· 2021-04-03
    64.3
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • 16konCOCO minival
    AP75· 2021-04-03
    48.9
    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
    59.6
    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
    48.3
    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
    26.6
    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
    44.8
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329

Computer Vision12 results

  • Instance SegmentationonCOCO minival
    APL· 2021-04-03
    56.1
    best: 74.6 (Co-DETR)
    SOTA
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    APM· 2021-04-03
    43.6
    best: 59.7 (Co-DETR)
    SOTA
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    AP50· 2021-04-03
    64.3
    best: 82.1 (EVA)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Object DetectiononCOCO minival
    AP75· 2021-04-03
    48.9
    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
    59.6
    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
    48.3
    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
    26.6
    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
    44.8
    best: 66 (PE_spatial (DETA))
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    AP50· 2021-04-03
    61.3
    best: 80.1 (InternImage-H)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    AP75· 2021-04-03
    44
    best: 62.8 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329
  • Instance SegmentationonCOCO minival
    APS· 2021-04-03
    22.3
    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
    40.4
    best: 56.6 (Co-DETR)
    Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingarXiv:2104.01329