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Models/CLIP4STR-B*

CLIP4STR-B*

Reported on 6 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.

Computer Vision4 results

  • Scene ParsingonSVT
    Accuracy· uses extra data· 2023-12-29
    98.76
    best: 99.1 (CLIP4STR-H (DFN-5B))
    An Empirical Study of Scaling Law for OCRarXiv:2401.00028
  • Scene ParsingonCUTE80
    Accuracy· uses extra data· 2023-12-29
    99.65
    best: 99.7 (CPPD)
    An Empirical Study of Scaling Law for OCRarXiv:2401.00028
  • Scene Text RecognitiononSVT
    Accuracy· uses extra data· 2023-12-29
    98.76
    best: 99.1 (CLIP4STR-H (DFN-5B))
    An Empirical Study of Scaling Law for OCRarXiv:2401.00028
  • Scene Text RecognitiononCUTE80
    Accuracy· uses extra data· 2023-12-29
    99.65
    best: 99.7 (CPPD)
    An Empirical Study of Scaling Law for OCRarXiv:2401.00028

Audio2 results

  • 2D Semantic SegmentationonSVT
    Accuracy· uses extra data· 2023-12-29
    98.76
    best: 99.1 (CLIP4STR-H (DFN-5B))
    An Empirical Study of Scaling Law for OCRarXiv:2401.00028
  • 2D Semantic SegmentationonCUTE80
    Accuracy· uses extra data· 2023-12-29
    99.65
    best: 99.7 (CPPD)
    An Empirical Study of Scaling Law for OCRarXiv:2401.00028