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Models/Sparse R-CNN (ResNet-101, FPN)

Sparse R-CNN (ResNet-101, FPN)

Reported on 30 benchmarks across 5 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· 2020-11-25
    62.1
    best: 82.1 (EVA)
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 3DonCOCO minival
    AP75· 2020-11-25
    47.2
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 3DonCOCO minival
    APL· 2020-11-25
    59.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 3DonCOCO minival
    APM· 2020-11-25
    46.3
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 3DonCOCO minival
    APS· 2020-11-25
    26.1
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 3DonCOCO minival
    box AP· 2020-11-25
    43.5
    best: 66 (PE_spatial (DETA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D ClassificationonCOCO minival
    AP50· 2020-11-25
    62.1
    best: 82.1 (EVA)
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D ClassificationonCOCO minival
    AP75· 2020-11-25
    47.2
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D ClassificationonCOCO minival
    APL· 2020-11-25
    59.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D ClassificationonCOCO minival
    APM· 2020-11-25
    46.3
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D ClassificationonCOCO minival
    APS· 2020-11-25
    26.1
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D ClassificationonCOCO minival
    box AP· 2020-11-25
    43.5
    best: 66 (PE_spatial (DETA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D Object DetectiononCOCO minival
    AP50· 2020-11-25
    62.1
    best: 82.1 (EVA)
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D Object DetectiononCOCO minival
    AP75· 2020-11-25
    47.2
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D Object DetectiononCOCO minival
    APL· 2020-11-25
    59.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D Object DetectiononCOCO minival
    APM· 2020-11-25
    46.3
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D Object DetectiononCOCO minival
    APS· 2020-11-25
    26.1
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 2D Object DetectiononCOCO minival
    box AP· 2020-11-25
    43.5
    best: 66 (PE_spatial (DETA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 16konCOCO minival
    AP50· 2020-11-25
    62.1
    best: 82.1 (EVA)
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 16konCOCO minival
    AP75· 2020-11-25
    47.2
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 16konCOCO minival
    APL· 2020-11-25
    59.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 16konCOCO minival
    APM· 2020-11-25
    46.3
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 16konCOCO minival
    APS· 2020-11-25
    26.1
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • 16konCOCO minival
    box AP· 2020-11-25
    43.5
    best: 66 (PE_spatial (DETA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450

Computer Vision6 results

  • Object DetectiononCOCO minival
    AP50· 2020-11-25
    62.1
    best: 82.1 (EVA)
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • Object DetectiononCOCO minival
    AP75· 2020-11-25
    47.2
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • Object DetectiononCOCO minival
    APL· 2020-11-25
    59.7
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • Object DetectiononCOCO minival
    APM· 2020-11-25
    46.3
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • Object DetectiononCOCO minival
    APS· 2020-11-25
    26.1
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450
  • Object DetectiononCOCO minival
    box AP· 2020-11-25
    43.5
    best: 66 (PE_spatial (DETA))
    Sparse R-CNN: End-to-End Object Detection with Learnable ProposalsarXiv:2011.12450