Scene Text Recognition

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

15 leaderboard tables shown for this task, 15 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 15 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 146 papers with code (269 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.

• An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
  21 Jul 2015 85 repositories listed Syntology ran 19 of 81 samples · 62 unverified · 17 pointer-only (licence)
  In this paper, we investigate the problem of scene text recognition, which is among the most important and challenging tasks in image-based sequence recognition.
• What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
  3 Apr 2019 13 repositories listed Syntology ran 0 of 19 samples · 19 unverified
  Many new proposals for scene text recognition (STR) models have been introduced in recent years.
• TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
  21 Sep 2021 8 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Text recognition is a long-standing research problem for document digitalization.
• 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.
• MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
  7 Oct 2019 7 repositories listed Syntology ran 4 of 10 samples · 6 unverified
  Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-decoder architecture.
• A Multi-Object Rectified Attention Network for Scene Text Recognition
  10 Jan 2019 7 repositories listed
  It decreases the difficulty of recognition and enables the attention-based sequence recognition network to more easily read irregular text.
• FOTS: Fast Oriented Text Spotting with a Unified Network
  5 Jan 2018 7 repositories listed
  Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community.
• From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network
  22 Aug 2021 5 repositories listed
  Such operation guides the vision model to use not only the visual texture of characters, but also the linguistic information in visual context for recognition when the visual cues are confused (e.
• 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…
• Decoupled Attention Network for Text Recognition
  21 Dec 2019 5 repositories listed
  To remedy this issue, we propose a decoupled attention network (DAN), which decouples the alignment operation from using historical decoding results.
• Robust Scene Text Recognition with Automatic Rectification
  12 Mar 2016 5 repositories listed
  We show that the model is able to recognize several types of irregular text, including perspective text and curved text.
• SVTR: Scene Text Recognition with a Single Visual Model
  30 Apr 2022 4 repositories listed
  Dominant scene text recognition models commonly contain two building blocks, a visual model for feature extraction and a sequence model for text transcription.
• Primitive Representation Learning for Scene Text Recognition
  10 May 2021 4 repositories listed
  In this paper, we propose a primitive representation learning method that aims to exploit intrinsic representations of scene text images.
• Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
  11 Mar 2021 4 repositories listed Syntology ran 18 of 28 samples · 10 unverified · 18 pointer-only (licence)
  Additionally, based on the ensemble of iterative predictions, we propose a self-training method which can learn from unlabeled images effectively.
• ASTER: An Attentional Scene Text Recognizer with Flexible Rectification
  25 Jun 2018 4 repositories listed
  SCENE text recognition has attracted great interest from the academia and the industry in recent years owing to its importance in a wide range of applications.
• NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition
  4 Jun 2018 4 repositories listed
  Considering scene image has large variation in text and background, we further design a modality-transform block to effectively transform 2D input images to 1D sequences, combined with the encoder to extract more…
• Multi-Granularity Prediction for Scene Text Recognition
  8 Sep 2022 3 repositories listed
  In this work, we first draw inspiration from the recent progress in Vision Transformer (ViT) to construct a conceptually simple yet powerful vision STR model, which is built upon ViT and outperforms previous…
• Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
  30 Nov 2021 3 repositories listed
  Furthermore, MATRN stimulates combining semantic features into visual features by hiding visual clues related to the character in the training phase.
• CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
  22 Nov 2021 3 repositories listed
  In this paper, we propose a novel module called Multi-Domain Character Distance Perception (MDCDP) to establish a visually and semantically related position embedding.
• Vision Transformer for Fast and Efficient Scene Text Recognition
  18 May 2021 3 repositories listed
  On a comparable strong baseline method such as TRBA with accuracy of 84.
• SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
  27 May 2020 3 repositories listed
  Arbitrary text appearance poses a great challenge in scene text recognition tasks.
• SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
  22 May 2020 3 repositories listed
  Scene text recognition is a hot research topic in computer vision.
• Towards Accurate Scene Text Recognition with Semantic Reasoning Networks
  27 Mar 2020 3 repositories listed
  Scene text image contains two levels of contents: visual texture and semantic information.
• UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
  24 Mar 2020 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Synthetic data has been a critical tool for training scene text detection and recognition models.
• Visual Re-ranking with Natural Language Understanding for Text Spotting
  29 Oct 2018 3 repositories listed
  We propose a post-processing approach to improve scene text recognition accuracy by using occurrence probabilities of words (unigram language model), and the semantic correlation between scene and text.
• TextBoxes++: A Single-Shot Oriented Scene Text Detector
  9 Jan 2018 3 repositories listed
  In this paper, we present an end-to-end trainable fast scene text detector, named TextBoxes++, which detects arbitrary-oriented scene text with both high accuracy and efficiency in a single network forward pass.
• STN-OCR: A single Neural Network for Text Detection and Text Recognition
  27 Jul 2017 3 repositories listed
  In contrast to most existing works that consist of multiple deep neural networks and several pre-processing steps we propose to use a single deep neural network that learns to detect and recognize text from natural…
• Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
  21 Feb 2024 2 repositories listed
  By enhancing the alignment between the canonical mask feature and the text feature, the module ensures more effective fusion, ultimately leading to improved recognition performance.
• Text Image Inpainting via Global Structure-Guided Diffusion Models
  26 Jan 2024 2 repositories listed Syntology ran 4 of 11 samples · 7 unverified
  Leveraging the global structure of the text as a prior, the proposed GSDM develops an efficient diffusion model to recover clean texts.
• Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition
  25 Jul 2023 2 repositories listed
  Specifically, MGP-STR achieves an average recognition accuracy of 94% on standard benchmarks for scene text recognition.

Syntology lines on 9 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.