Irregular Text Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
  2 Nov 2018 8 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion.
• RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
  15 Jul 2020 5 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Theoretically, our proposed method, dubbed \emph{RobustScanner}, decodes individual characters with dynamic ratio between context and positional clues, and utilizes more positional ones when the decoding sequences with…
• A Hybrid Deep Learning Model for Arabic Text Recognition
  4 Sep 2020 4 repositories listed
  This paper presents a model that can recognize Arabic text that was printed using multiple font types including fonts that mimic Arabic handwritten scripts.
• SCATTER: Selective Context Attentional Scene Text Recognizer
  25 Mar 2020 2 repositories listed
  The first attention step re-weights visual features from a CNN backbone together with contextual features computed by a BiLSTM layer.
• A Holistic Representation Guided Attention Network for Scene Text Recognition
  2 Apr 2019 1 repository listed
  In this work, we propose a simple yet strong approach for scene text recognition.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.