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Models/SpineNet-49 (640, RetinaNet, single-scale)

SpineNet-49 (640, RetinaNet, single-scale)

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· 2019-12-10
    62.3
    best: 95 (ViTPose (ViTAE-G, ensemble))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 3DonCOCO test-dev
    AP75· 2019-12-10
    46.1
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 3DonCOCO test-dev
    APL· 2019-12-10
    57.3
    best: 86.5 (PoseBH-H)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 3DonCOCO test-dev
    APM· 2019-12-10
    45.2
    best: 83.8 (4xRSN-50 (ensemble))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 3DonCOCO test-dev
    APS· 2019-12-10
    23.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 3DonCOCO test-dev
    box mAP· 2019-12-10
    42.8
    best: 66 (Co-DETR)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D ClassificationonCOCO test-dev
    AP50· 2019-12-10
    62.3
    best: 82.1 (Plain-DETR (Swin-L))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D ClassificationonCOCO test-dev
    AP75· 2019-12-10
    46.1
    best: 71.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D ClassificationonCOCO test-dev
    APL· 2019-12-10
    57.3
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D ClassificationonCOCO test-dev
    APM· 2019-12-10
    45.2
    best: 67.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D ClassificationonCOCO test-dev
    APS· 2019-12-10
    23.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D ClassificationonCOCO test-dev
    box mAP· 2019-12-10
    42.8
    best: 66 (Co-DETR)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D Object DetectiononCOCO test-dev
    AP50· 2019-12-10
    62.3
    best: 82.1 (Plain-DETR (Swin-L))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D Object DetectiononCOCO test-dev
    AP75· 2019-12-10
    46.1
    best: 71.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D Object DetectiononCOCO test-dev
    APL· 2019-12-10
    57.3
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D Object DetectiononCOCO test-dev
    APM· 2019-12-10
    45.2
    best: 67.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D Object DetectiononCOCO test-dev
    APS· 2019-12-10
    23.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 2D Object DetectiononCOCO test-dev
    box mAP· 2019-12-10
    42.8
    best: 66 (Co-DETR)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 16konCOCO test-dev
    AP50· 2019-12-10
    62.3
    best: 82.1 (Plain-DETR (Swin-L))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 16konCOCO test-dev
    AP75· 2019-12-10
    46.1
    best: 71.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 16konCOCO test-dev
    APL· 2019-12-10
    57.3
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 16konCOCO test-dev
    APM· 2019-12-10
    45.2
    best: 67.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 16konCOCO test-dev
    APS· 2019-12-10
    23.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • 16konCOCO test-dev
    box mAP· 2019-12-10
    42.8
    best: 66 (Co-DETR)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027

Computer Vision6 results

  • Object DetectiononCOCO test-dev
    AP50· 2019-12-10
    62.3
    best: 82.1 (Plain-DETR (Swin-L))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • Object DetectiononCOCO test-dev
    AP75· 2019-12-10
    46.1
    best: 71.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • Object DetectiononCOCO test-dev
    APL· 2019-12-10
    57.3
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • Object DetectiononCOCO test-dev
    APM· 2019-12-10
    45.2
    best: 67.7 (EVA)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • Object DetectiononCOCO test-dev
    APS· 2019-12-10
    23.7
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027
  • Object DetectiononCOCO test-dev
    box mAP· 2019-12-10
    42.8
    best: 66 (Co-DETR)
    SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationarXiv:1912.05027