TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/A3S

A3S

Reported on 7 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 Vision7 results

  • Text SpottingonSCUT-CTW1500
    F-measure (%) - No Lexicon· 2023-02-21
    64.4
    SOTA
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641
  • Text SpottingonICDAR 2015
    F-measure (%) - Generic Lexicon· 2023-02-21
    79.6
    best: 80.3 (UNITS)
    SOTA
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641
  • Text SpottingonTotal-Text
    F-measure (%) - Full Lexicon· 2023-02-21
    85.1
    best: 89.6 (DeepSolo (ViTAEv2-S, TextOCR))
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641
  • Text SpottingonTotal-Text
    F-measure (%) - No Lexicon· 2023-02-21
    79.4
    best: 83.6 (DeepSolo (ViTAEv2-S, TextOCR))
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641
  • Text SpottingonSCUT-CTW1500
    F-Measure (%) - Full Lexicon· 2023-02-21
    82.3
    best: 83.8 (SPTS)
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641
  • Text SpottingonICDAR 2015
    F-measure (%) - Strong Lexicon· 2023-02-21
    84.8
    best: 89 (UNITS)
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641
  • Text SpottingonICDAR 2015
    F-measure (%) - Weak Lexicon· 2023-02-21
    83.7
    best: 84.1 (UNITS)
    A3S: Adversarial learning of semantic representations for Scene-Text SpottingarXiv:2302.10641