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Models/TESTR

TESTR

Reported on 9 benchmarks across 1 task · 1 paper · 2 SOTA

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

Computer Vision9 results

  • Text SpottingonICDAR 2015
    F-measure (%) - Strong Lexicon· 2022-04-05
    85.2
    best: 89 (UNITS)
    SOTA
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonICDAR 2015
    F-measure (%) - Weak Lexicon· 2022-04-05
    79.4
    best: 84.1 (UNITS)
    SOTA
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonTotal-Text
    F-measure (%) - Full Lexicon· 2022-04-05
    83.9
    best: 89.6 (DeepSolo (ViTAEv2-S, TextOCR))
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonTotal-Text
    F-measure (%) - No Lexicon· 2022-04-05
    73.3
    best: 83.6 (DeepSolo (ViTAEv2-S, TextOCR))
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonInverse-Text
    F-measure (%) - Full Lexicon· 2022-04-05
    41.6
    best: 75.8 (DeepSolo (ViTAEv2-S, TextOCR))
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonInverse-Text
    F-measure (%) - No Lexicon· 2022-04-05
    34.2
    best: 68.8 (DeepSolo (ViTAEv2-S, TextOCR))
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonSCUT-CTW1500
    F-Measure (%) - Full Lexicon· 2022-04-05
    81.5
    best: 83.8 (SPTS)
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonSCUT-CTW1500
    F-measure (%) - No Lexicon· 2022-04-05
    56
    best: 64.4 (A3S)
    Text Spotting TransformersarXiv:2204.01918
  • Text SpottingonICDAR 2015
    F-measure (%) - Generic Lexicon· 2022-04-05
    73.6
    best: 80.3 (UNITS)
    Text Spotting TransformersarXiv:2204.01918