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Models/GCNet (RX-101-32x4d-DCN)

GCNet (RX-101-32x4d-DCN)

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· 2019-04-25
    26
    best: 57.8 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 3DonCOCO-O
    Effective Robustness· 2019-04-25
    4.38
    best: 28.86 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 2D ClassificationonCOCO-O
    Average mAP· 2019-04-25
    26
    best: 57.8 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 2D ClassificationonCOCO-O
    Effective Robustness· 2019-04-25
    4.38
    best: 28.86 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 2D Object DetectiononCOCO-O
    Average mAP· 2019-04-25
    26
    best: 57.8 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 2D Object DetectiononCOCO-O
    Effective Robustness· 2019-04-25
    4.38
    best: 28.86 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 16konCOCO-O
    Average mAP· 2019-04-25
    26
    best: 57.8 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • 16konCOCO-O
    Effective Robustness· 2019-04-25
    4.38
    best: 28.86 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492

Computer Vision2 results

  • Object DetectiononCOCO-O
    Average mAP· 2019-04-25
    26
    best: 57.8 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492
  • Object DetectiononCOCO-O
    Effective Robustness· 2019-04-25
    4.38
    best: 28.86 (EVA)
    SOTA
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondarXiv:1904.11492