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Models/CBNetV2 (Swin-L)

CBNetV2 (Swin-L)

Reported on 10 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology8 results

  • 3DonCOCO-O
    Average mAP· 2021-07-01
    39
    best: 57.8 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 3DonCOCO-O
    Effective Robustness· 2021-07-01
    12.36
    best: 28.86 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 2D ClassificationonCOCO-O
    Average mAP· 2021-07-01
    39
    best: 57.8 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 2D ClassificationonCOCO-O
    Effective Robustness· 2021-07-01
    12.36
    best: 28.86 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 2D Object DetectiononCOCO-O
    Average mAP· 2021-07-01
    39
    best: 57.8 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 2D Object DetectiononCOCO-O
    Effective Robustness· 2021-07-01
    12.36
    best: 28.86 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 16konCOCO-O
    Average mAP· 2021-07-01
    39
    best: 57.8 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • 16konCOCO-O
    Effective Robustness· 2021-07-01
    12.36
    best: 28.86 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420

Computer Vision2 results

  • Object DetectiononCOCO-O
    Average mAP· 2021-07-01
    39
    best: 57.8 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420
  • Object DetectiononCOCO-O
    Effective Robustness· 2021-07-01
    12.36
    best: 28.86 (EVA)
    SOTA
    CBNet: A Composite Backbone Network Architecture for Object DetectionarXiv:2107.00420