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Models/DetectoRS (ResNeXt-101-64x4d, multi-scale)

DetectoRS (ResNeXt-101-64x4d, multi-scale)

Reported on 45 benchmarks across 9 tasks · 1 paper · 37 SOTA

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

Methodology24 results

  • 3DonCOCO test-dev
    APS· 2020-06-03
    37.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 3DonCOCO test-dev
    box mAP· 2020-06-03
    55.7
    best: 66 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D ClassificationonCOCO test-dev
    AP50· 2020-06-03
    74.2
    best: 82.1 (Plain-DETR (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D ClassificationonCOCO test-dev
    AP75· 2020-06-03
    61.1
    best: 71.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D ClassificationonCOCO test-dev
    APL· 2020-06-03
    68.1
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D ClassificationonCOCO test-dev
    APM· 2020-06-03
    58.4
    best: 67.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D ClassificationonCOCO test-dev
    APS· 2020-06-03
    37.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D ClassificationonCOCO test-dev
    box mAP· 2020-06-03
    55.7
    best: 66 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D Object DetectiononCOCO test-dev
    AP50· 2020-06-03
    74.2
    best: 82.1 (Plain-DETR (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D Object DetectiononCOCO test-dev
    AP75· 2020-06-03
    61.1
    best: 71.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D Object DetectiononCOCO test-dev
    APL· 2020-06-03
    68.1
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D Object DetectiononCOCO test-dev
    APM· 2020-06-03
    58.4
    best: 67.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D Object DetectiononCOCO test-dev
    APS· 2020-06-03
    37.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 2D Object DetectiononCOCO test-dev
    box mAP· 2020-06-03
    55.7
    best: 66 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 16konCOCO test-dev
    AP50· 2020-06-03
    74.2
    best: 82.1 (Plain-DETR (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 16konCOCO test-dev
    AP75· 2020-06-03
    61.1
    best: 71.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 16konCOCO test-dev
    APL· 2020-06-03
    68.1
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 16konCOCO test-dev
    APM· 2020-06-03
    58.4
    best: 67.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 16konCOCO test-dev
    APS· 2020-06-03
    37.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 16konCOCO test-dev
    box mAP· 2020-06-03
    55.7
    best: 66 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 3DonCOCO test-dev
    AP50· 2020-06-03
    74.2
    best: 95 (ViTPose (ViTAE-G, ensemble))
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 3DonCOCO test-dev
    AP75· 2020-06-03
    61.1
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 3DonCOCO test-dev
    APL· 2020-06-03
    68.1
    best: 86.5 (PoseBH-H)
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 3DonCOCO test-dev
    APM· 2020-06-03
    58.4
    best: 83.8 (4xRSN-50 (ensemble))
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334

Computer Vision15 results

  • Object DetectiononCOCO test-dev
    AP50· 2020-06-03
    74.2
    best: 82.1 (Plain-DETR (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Object DetectiononCOCO test-dev
    AP75· 2020-06-03
    61.1
    best: 71.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Object DetectiononCOCO test-dev
    APL· 2020-06-03
    68.1
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Object DetectiononCOCO test-dev
    APM· 2020-06-03
    58.4
    best: 67.7 (EVA)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Object DetectiononCOCO test-dev
    APS· 2020-06-03
    37.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Object DetectiononCOCO test-dev
    box mAP· 2020-06-03
    55.7
    best: 66 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Instance SegmentationonCOCO test-dev
    AP50· 2020-06-03
    72
    best: 80.8 (InternImage-H)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Instance SegmentationonCOCO test-dev
    AP75· 2020-06-03
    53.3
    best: 63.4 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Instance SegmentationonCOCO test-dev
    APM· 2020-06-03
    50.9
    best: 60.1 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Instance SegmentationonCOCO test-dev
    APS· 2020-06-03
    31.6
    best: 41.6 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Instance SegmentationonCOCO test-dev
    mask AP· 2020-06-03
    48.5
    best: 57.1 (Co-DETR)
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Panoptic SegmentationonCOCO test-dev
    PQ· 2020-06-03
    50
    best: 59.5 (Mask DINO (single scale))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Panoptic SegmentationonCOCO test-dev
    PQth· 2020-06-03
    58.5
    best: 65.1 (Mask2Former (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Instance SegmentationonCOCO test-dev
    APL· 2020-06-03
    61.5
    best: 72.4 (EVA)
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Panoptic SegmentationonCOCO test-dev
    PQst· 2020-06-03
    37.2
    best: 58.9 (MaskConver (ResNet50, single-scale))
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334

Medical3 results

  • Semantic SegmentationonCOCO test-dev
    PQ· 2020-06-03
    50
    best: 59.5 (Mask DINO (single scale))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Semantic SegmentationonCOCO test-dev
    PQth· 2020-06-03
    58.5
    best: 65.1 (Mask2Former (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • Semantic SegmentationonCOCO test-dev
    PQst· 2020-06-03
    37.2
    best: 58.9 (MaskConver (ResNet50, single-scale))
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334

Audio3 results

  • 10-shot image generationonCOCO test-dev
    PQ· 2020-06-03
    50
    best: 59.5 (Mask DINO (single scale))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 10-shot image generationonCOCO test-dev
    PQth· 2020-06-03
    58.5
    best: 65.1 (Mask2Former (Swin-L))
    SOTA
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334
  • 10-shot image generationonCOCO test-dev
    PQst· 2020-06-03
    37.2
    best: 58.9 (MaskConver (ResNet50, single-scale))
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionarXiv:2006.02334