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Models/InternImage-B

InternImage-B

Reported on 9 benchmarks across 4 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· 2022-11-10
    1185
    best: 4635 (InternImage-H)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778
  • Semantic SegmentationonADE20K
    Params (M)· 2022-11-10
    128
    best: 3000 (FD-SwinV2-G)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778
  • Semantic SegmentationonADE20K
    Validation mIoU· 2022-11-10
    51.3
    best: 63.6 (ViT-P (InternImage-H))
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778

Computer Vision3 results

  • Image ClassificationonImageNet
    GFLOPs· 2022-11-10
    16
    best: 1478 (InternImage-H)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778
  • Instance SegmentationonCOCO minival
    GFLOPs· 2022-11-10
    501
    best: 1782 (InternImage-XL)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778
  • Instance SegmentationonCOCO minival
    Params (M)· 2022-11-10
    115
    best: 387 (InternImage-XL)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778

Audio3 results

  • 10-shot image generationonADE20K
    GFLOPs· 2022-11-10
    1185
    best: 4635 (InternImage-H)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778
  • 10-shot image generationonADE20K
    Params (M)· 2022-11-10
    128
    best: 3000 (FD-SwinV2-G)
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778
  • 10-shot image generationonADE20K
    Validation mIoU· 2022-11-10
    51.3
    best: 63.6 (ViT-P (InternImage-H))
    InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsarXiv:2211.05778