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Models/ConvNeXt-XL (Cascade Mask R-CNN)

ConvNeXt-XL (Cascade Mask R-CNN)

Reported on 10 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.

Methodology8 results

  • 3DonCOCO-O
    Average mAP· 2022-01-10
    37.5
    best: 57.8 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 3DonCOCO-O
    Effective Robustness· 2022-01-10
    12.68
    best: 28.86 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 2D ClassificationonCOCO-O
    Average mAP· 2022-01-10
    37.5
    best: 57.8 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 2D ClassificationonCOCO-O
    Effective Robustness· 2022-01-10
    12.68
    best: 28.86 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 2D Object DetectiononCOCO-O
    Average mAP· 2022-01-10
    37.5
    best: 57.8 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 2D Object DetectiononCOCO-O
    Effective Robustness· 2022-01-10
    12.68
    best: 28.86 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 16konCOCO-O
    Average mAP· 2022-01-10
    37.5
    best: 57.8 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • 16konCOCO-O
    Effective Robustness· 2022-01-10
    12.68
    best: 28.86 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545

Computer Vision2 results

  • Object DetectiononCOCO-O
    Average mAP· 2022-01-10
    37.5
    best: 57.8 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545
  • Object DetectiononCOCO-O
    Effective Robustness· 2022-01-10
    12.68
    best: 28.86 (EVA)
    A ConvNet for the 2020sarXiv:2201.03545