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/Mask R-CNN-FPN (ResNeXt-101, GN+WS)

Mask R-CNN-FPN (ResNeXt-101, GN+WS)

Reported on 36 benchmarks across 6 tasks · 1 paper · 10 SOTA

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

Methodology24 results

  • 3DonCOCO minival
    APM· 2019-03-25
    47.19
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D ClassificationonCOCO minival
    APM· 2019-03-25
    47.19
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D Object DetectiononCOCO minival
    APM· 2019-03-25
    47.19
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 16konCOCO minival
    APM· 2019-03-25
    47.19
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 3DonCOCO minival
    AP50· 2019-03-25
    64.15
    best: 82.1 (EVA)
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 3DonCOCO minival
    AP75· 2019-03-25
    47.11
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 3DonCOCO minival
    APL· 2019-03-25
    56.39
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 3DonCOCO minival
    APS· 2019-03-25
    25.49
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 3DonCOCO minival
    box AP· 2019-03-25
    43.12
    best: 66 (PE_spatial (DETA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D ClassificationonCOCO minival
    AP50· 2019-03-25
    64.15
    best: 82.1 (EVA)
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D ClassificationonCOCO minival
    AP75· 2019-03-25
    47.11
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D ClassificationonCOCO minival
    APL· 2019-03-25
    56.39
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D ClassificationonCOCO minival
    APS· 2019-03-25
    25.49
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D ClassificationonCOCO minival
    box AP· 2019-03-25
    43.12
    best: 66 (PE_spatial (DETA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D Object DetectiononCOCO minival
    AP50· 2019-03-25
    64.15
    best: 82.1 (EVA)
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D Object DetectiononCOCO minival
    AP75· 2019-03-25
    47.11
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D Object DetectiononCOCO minival
    APL· 2019-03-25
    56.39
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D Object DetectiononCOCO minival
    APS· 2019-03-25
    25.49
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 2D Object DetectiononCOCO minival
    box AP· 2019-03-25
    43.12
    best: 66 (PE_spatial (DETA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 16konCOCO minival
    AP50· 2019-03-25
    64.15
    best: 82.1 (EVA)
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 16konCOCO minival
    AP75· 2019-03-25
    47.11
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 16konCOCO minival
    APL· 2019-03-25
    56.39
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 16konCOCO minival
    APS· 2019-03-25
    25.49
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • 16konCOCO minival
    box AP· 2019-03-25
    43.12
    best: 66 (PE_spatial (DETA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520

Computer Vision12 results

  • Object DetectiononCOCO minival
    APM· 2019-03-25
    47.19
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Instance SegmentationonCOCO minival
    AP50· 2019-03-25
    61.07
    best: 80.1 (InternImage-H)
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Instance SegmentationonCOCO minival
    AP75· 2019-03-25
    40.82
    best: 62.8 (Co-DETR)
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Instance SegmentationonCOCO minival
    APL· 2019-03-25
    56.08
    best: 74.6 (Co-DETR)
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Instance SegmentationonCOCO minival
    APM· 2019-03-25
    41.73
    best: 59.7 (Co-DETR)
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Instance SegmentationonCOCO minival
    APS· 2019-03-25
    18.32
    best: 38.9 (Co-DETR)
    SOTA
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Object DetectiononCOCO minival
    AP50· 2019-03-25
    64.15
    best: 82.1 (EVA)
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Object DetectiononCOCO minival
    AP75· 2019-03-25
    47.11
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Object DetectiononCOCO minival
    APL· 2019-03-25
    56.39
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Object DetectiononCOCO minival
    APS· 2019-03-25
    25.49
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Object DetectiononCOCO minival
    box AP· 2019-03-25
    43.12
    best: 66 (PE_spatial (DETA))
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520
  • Instance SegmentationonCOCO minival
    mask AP· 2019-03-25
    38.34
    best: 56.6 (Co-DETR)
    Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationarXiv:1903.10520