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Models/CAFormer-B36 (IN21K)

CAFormer-B36 (IN21K)

Reported on 6 benchmarks across 2 tasks · 1 paper

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

Methodology3 results

  • Domain AdaptationonImageNet-R
    Top-1 Error Rate· uses extra data· 2022-10-24
    31.7
    best: 3.9 (Model soups (BASIC-L))
    MetaFormer Baselines for VisionarXiv:2210.13452
  • Domain AdaptationonImageNet-C
    mean Corruption Error (mCE)· uses extra data· 2022-10-24
    31.8
    best: 22 (EfficientNet-L2+RPL)
    MetaFormer Baselines for VisionarXiv:2210.13452
  • Domain AdaptationonImageNet-Sketch
    Top-1 accuracy· uses extra data· 2022-10-24
    52.8
    best: 77.18 (Model soups (BASIC-L))
    MetaFormer Baselines for VisionarXiv:2210.13452

Computer Vision3 results

  • Domain GeneralizationonImageNet-R
    Top-1 Error Rate· uses extra data· 2022-10-24
    31.7
    best: 3.9 (Model soups (BASIC-L))
    MetaFormer Baselines for VisionarXiv:2210.13452
  • Domain GeneralizationonImageNet-C
    mean Corruption Error (mCE)· uses extra data· 2022-10-24
    31.8
    best: 28.2 (DINOv2 (ViT-g/14, frozen model, linear eval))
    MetaFormer Baselines for VisionarXiv:2210.13452
  • Domain GeneralizationonImageNet-Sketch
    Top-1 accuracy· uses extra data· 2022-10-24
    52.8
    best: 77.18 (Model soups (BASIC-L))
    MetaFormer Baselines for VisionarXiv:2210.13452