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Models/CCD-ViT-Tiny(ARD_2.8M)

CCD-ViT-Tiny(ARD_2.8M)

Reported on 12 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 Vision8 results

  • Scene ParsingonSVT
    Accuracy· uses extra data· 2022-11-01
    96
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene ParsingonCUTE80
    Accuracy· uses extra data· 2022-11-01
    95.8
    best: 99.7 (CPPD)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene ParsingonIIIT5k
    Accuracy· uses extra data· 2022-11-01
    97.1
    best: 99.6 (CLIP4STR-L (DataComp-1B))
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene ParsingonICDAR2013
    Accuracy· uses extra data· 2022-11-01
    97.5
    best: 99.42 (CLIP4STR-L*)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononSVT
    Accuracy· uses extra data· 2022-11-01
    96
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononCUTE80
    Accuracy· uses extra data· 2022-11-01
    95.8
    best: 99.7 (CPPD)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononIIIT5k
    Accuracy· uses extra data· 2022-11-01
    97.1
    best: 99.6 (CLIP4STR-L (DataComp-1B))
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononICDAR2013
    Accuracy· uses extra data· 2022-11-01
    97.5
    best: 99.42 (CLIP4STR-L*)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288

Audio4 results

  • 2D Semantic SegmentationonSVT
    Accuracy· uses extra data· 2022-11-01
    96
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • 2D Semantic SegmentationonCUTE80
    Accuracy· uses extra data· 2022-11-01
    95.8
    best: 99.7 (CPPD)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • 2D Semantic SegmentationonIIIT5k
    Accuracy· uses extra data· 2022-11-01
    97.1
    best: 99.6 (CLIP4STR-L (DataComp-1B))
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • 2D Semantic SegmentationonICDAR2013
    Accuracy· uses extra data· 2022-11-01
    97.5
    best: 99.42 (CLIP4STR-L*)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288