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Models/GC ViT-T

GC ViT-T

Reported on 7 benchmarks across 3 tasks · 1 paper

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

Medical3 results

  • Semantic SegmentationonADE20K
    GFLOPs (512 x 512)· 2022-06-20
    947
    best: 3335 (ConvNeXt-XL++)
    Global Context Vision TransformersarXiv:2206.09959
  • Semantic SegmentationonADE20K
    Params (M)· 2022-06-20
    58
    best: 3000 (FD-SwinV2-G)
    Global Context Vision TransformersarXiv:2206.09959
  • Semantic SegmentationonADE20K
    Validation mIoU· 2022-06-20
    46.5
    best: 63.6 (ViT-P (InternImage-H))
    Global Context Vision TransformersarXiv:2206.09959

Audio3 results

  • 10-shot image generationonADE20K
    GFLOPs (512 x 512)· 2022-06-20
    947
    best: 3335 (ConvNeXt-XL++)
    Global Context Vision TransformersarXiv:2206.09959
  • 10-shot image generationonADE20K
    Params (M)· 2022-06-20
    58
    best: 3000 (FD-SwinV2-G)
    Global Context Vision TransformersarXiv:2206.09959
  • 10-shot image generationonADE20K
    Validation mIoU· 2022-06-20
    46.5
    best: 63.6 (ViT-P (InternImage-H))
    Global Context Vision TransformersarXiv:2206.09959

Computer Vision1 result

  • Image ClassificationonImageNet
    GFLOPs· 2022-06-20
    4.7
    best: 1478 (InternImage-H)
    Global Context Vision TransformersarXiv:2206.09959