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Models/YOLOv3 @800 + ASFF* (Darknet-53)

YOLOv3 @800 + ASFF* (Darknet-53)

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 test-dev
    AP50· uses extra data· 2019-11-21
    64.1
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 3DonCOCO test-dev
    AP75· uses extra data· 2019-11-21
    49.2
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 3DonCOCO test-dev
    APL· uses extra data· 2019-11-21
    53.4
    best: 86.5 (PoseBH-H)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 3DonCOCO test-dev
    APM· uses extra data· 2019-11-21
    46.6
    best: 83.8 (4xRSN-50 (ensemble))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 3DonCOCO test-dev
    APS· uses extra data· 2019-11-21
    27
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 3DonCOCO test-dev
    box mAP· uses extra data· 2019-11-21
    43.9
    best: 66 (Co-DETR)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D ClassificationonCOCO test-dev
    AP50· uses extra data· 2019-11-21
    64.1
    best: 82.1 (Plain-DETR (Swin-L))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D ClassificationonCOCO test-dev
    AP75· uses extra data· 2019-11-21
    49.2
    best: 71.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D ClassificationonCOCO test-dev
    APL· uses extra data· 2019-11-21
    53.4
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D ClassificationonCOCO test-dev
    APM· uses extra data· 2019-11-21
    46.6
    best: 67.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D ClassificationonCOCO test-dev
    APS· uses extra data· 2019-11-21
    27
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D ClassificationonCOCO test-dev
    box mAP· uses extra data· 2019-11-21
    43.9
    best: 66 (Co-DETR)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D Object DetectiononCOCO test-dev
    AP50· uses extra data· 2019-11-21
    64.1
    best: 82.1 (Plain-DETR (Swin-L))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D Object DetectiononCOCO test-dev
    AP75· uses extra data· 2019-11-21
    49.2
    best: 71.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D Object DetectiononCOCO test-dev
    APL· uses extra data· 2019-11-21
    53.4
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D Object DetectiononCOCO test-dev
    APM· uses extra data· 2019-11-21
    46.6
    best: 67.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D Object DetectiononCOCO test-dev
    APS· uses extra data· 2019-11-21
    27
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 2D Object DetectiononCOCO test-dev
    box mAP· uses extra data· 2019-11-21
    43.9
    best: 66 (Co-DETR)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 16konCOCO test-dev
    AP50· uses extra data· 2019-11-21
    64.1
    best: 82.1 (Plain-DETR (Swin-L))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 16konCOCO test-dev
    AP75· uses extra data· 2019-11-21
    49.2
    best: 71.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 16konCOCO test-dev
    APL· uses extra data· 2019-11-21
    53.4
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 16konCOCO test-dev
    APM· uses extra data· 2019-11-21
    46.6
    best: 67.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 16konCOCO test-dev
    APS· uses extra data· 2019-11-21
    27
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • 16konCOCO test-dev
    box mAP· uses extra data· 2019-11-21
    43.9
    best: 66 (Co-DETR)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516

Computer Vision6 results

  • Object DetectiononCOCO test-dev
    AP50· uses extra data· 2019-11-21
    64.1
    best: 82.1 (Plain-DETR (Swin-L))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • Object DetectiononCOCO test-dev
    AP75· uses extra data· 2019-11-21
    49.2
    best: 71.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • Object DetectiononCOCO test-dev
    APL· uses extra data· 2019-11-21
    53.4
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • Object DetectiononCOCO test-dev
    APM· uses extra data· 2019-11-21
    46.6
    best: 67.7 (EVA)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • Object DetectiononCOCO test-dev
    APS· uses extra data· 2019-11-21
    27
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516
  • Object DetectiononCOCO test-dev
    box mAP· uses extra data· 2019-11-21
    43.9
    best: 66 (Co-DETR)
    Learning Spatial Fusion for Single-Shot Object DetectionarXiv:1911.09516