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Models/CHAR

CHAR

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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· 2014-06-09
    68
    best: 99.1 (CLIP4STR-H (DFN-5B))
    SOTA
    Synthetic Data and Artificial Neural Networks for Natural Scene Text RecognitionarXiv:1406.2227
  • Scene ParsingonICDAR2013
    Accuracy· 2014-06-09
    79.5
    best: 99.42 (CLIP4STR-L*)
    SOTA
    Synthetic Data and Artificial Neural Networks for Natural Scene Text RecognitionarXiv:1406.2227
  • Scene Text RecognitiononSVT
    Accuracy· 2014-06-09
    68
    best: 99.1 (CLIP4STR-H (DFN-5B))
    SOTA
    Synthetic Data and Artificial Neural Networks for Natural Scene Text RecognitionarXiv:1406.2227
  • Scene Text RecognitiononICDAR2013
    Accuracy· 2014-06-09
    79.5
    best: 99.42 (CLIP4STR-L*)
    SOTA
    Synthetic Data and Artificial Neural Networks for Natural Scene Text RecognitionarXiv:1406.2227

Audio2 results

  • 2D Semantic SegmentationonSVT
    Accuracy· 2014-06-09
    68
    best: 99.1 (CLIP4STR-H (DFN-5B))
    SOTA
    Synthetic Data and Artificial Neural Networks for Natural Scene Text RecognitionarXiv:1406.2227
  • 2D Semantic SegmentationonICDAR2013
    Accuracy· 2014-06-09
    79.5
    best: 99.42 (CLIP4STR-L*)
    SOTA
    Synthetic Data and Artificial Neural Networks for Natural Scene Text RecognitionarXiv:1406.2227