Text Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

3 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.

Most implemented papers archive 2025-07-28

30 shown of 253 papers with code (595 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.

• EAST: An Efficient and Accurate Scene Text Detector
  11 Apr 2017 31 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 1 pointer-only (licence)
  Previous approaches for scene text detection have already achieved promising performances across various benchmarks.
• Shape Robust Text Detection with Progressive Scale Expansion Network
  28 Mar 2019 19 repositories listed
  Due to the fact that there are large geometrical margins among the minimal scale kernels, our method is effective to split the close text instances, making it easier to use segmentation-based methods to detect…
• Character Region Awareness for Text Detection
  3 Apr 2019 18 repositories listed Syntology ran 6 of 40 samples · 34 unverified · 4 pointer-only (licence)
  Scene text detection methods based on neural networks have emerged recently and have shown promising results.
• ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
  24 Feb 2020 16 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Our contributions are three-fold: 1) For the first time, we adaptively fit arbitrarily-shaped text by a parameterized Bezier curve.
• Real-time Scene Text Detection with Differentiable Binarization
  20 Nov 2019 15 repositories listed Syntology ran 3 of 25 samples · 22 unverified
  Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.
• Fourier Contour Embedding for Arbitrary-Shaped Text Detection
  21 Apr 2021 12 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  One of the main challenges for arbitrary-shaped text detection is to design a good text instance representation that allows networks to learn diverse text geometry variances.
• Shape Robust Text Detection with Progressive Scale Expansion Network
  7 Jun 2018 9 repositories listed Syntology ran 5 of 24 samples · 19 unverified · 2 pointer-only (licence)
  To address these problems, we propose a novel Progressive Scale Expansion Network (PSENet), designed as a segmentation-based detector with multiple predictions for each text instance.
• 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.
• Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
  10 May 2021 6 repositories listed
  Our approach encodes a description of the novel documents using the linguistic patterns captured by TM clauses.
• TextFuseNet: Scene Text Detection with Richer Fused Features
  17 May 2020 6 repositories listed
  More specifically, we propose to perceive texts from three levels of feature representations, i.
• Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
  16 Aug 2019 6 repositories listed Syntology ran 4 of 28 samples · 24 unverified
  Recently, some methods have been proposed to tackle arbitrary-shaped text detection, but they rarely take the speed of the entire pipeline into consideration, which may fall short in practical applications.
• Detecting Oriented Text in Natural Images by Linking Segments
  19 Mar 2017 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  It achieves an f-measure of 75.
• Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
  21 Feb 2022 5 repositories listed
  By incorporating the proposed DB and ASF with the segmentation network, our proposed scene text detector consistently achieves state-of-the-art results, in terms of both detection accuracy and speed, on five standard…
• PixelLink: Detecting Scene Text via Instance Segmentation
  4 Jan 2018 5 repositories listed
  Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/non-text classification and location…
• DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
  24 May 2016 5 repositories listed
  In this paper, we develop a novel unified framework called DeepText for text region proposal generation and text detection in natural images via a fully convolutional neural network (CNN).
• MGTBench: Benchmarking Machine-Generated Text Detection
  26 Mar 2023 4 repositories listed Syntology ran 5 of 26 samples · 21 unverified
  Extensive evaluations on public datasets with curated texts generated by various powerful LLMs such as ChatGPT-turbo and Claude demonstrate the effectiveness of different detection methods.
• DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
  26 Jan 2023 4 repositories listed Syntology ran 3 of 9 samples · 6 unverified · 2 pointer-only (licence)
  In this paper, we identify a property of the structure of an LLM's probability function that is useful for such detection.
• DiT: Self-supervised Pre-training for Document Image Transformer
  4 Mar 2022 4 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  We leverage DiT as the backbone network in a variety of vision-based Document AI tasks, including document image classification, document layout analysis, table detection as well as text detection for OCR.
• Arbitrary-Oriented Scene Text Detection via Rotation Proposals
  3 Mar 2017 4 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.
• COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
  26 Jan 2016 4 repositories listed
  The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.
• ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
  20 Aug 2023 3 repositories listed
  To this end, we introduce a new model named Explicit Synergy-based Text Spotting Transformer framework (ESTextSpotter), which achieves explicit synergy by modeling discriminative and interactive features for text…
• Multiscale Positive-Unlabeled Detection of AI-Generated Texts
  29 May 2023 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Recent releases of Large Language Models (LLMs), e.
• SPTS v2: Single-Point Scene Text Spotting
  4 Jan 2023 3 repositories listed Syntology ran 5 of 16 samples · 11 unverified
  Within the context of our SPTS v2 framework, our experiments suggest a potential preference for single-point representation in scene text spotting when compared to other representations.
• Towards End-to-End Unified Scene Text Detection and Layout Analysis
  28 Mar 2022 3 repositories listed Syntology ran 8 of 15 samples · 7 unverified · 15 pointer-only (licence)
  In this paper, we bring them together and introduce the task of unified scene text detection and layout analysis.
• 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.
• FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
  27 May 2019 3 repositories listed
  We present a new dataset for form understanding in noisy scanned documents (FUNSD) that aims at extracting and structuring the textual content of forms.
• TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
  4 Jul 2018 3 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously refreshing the performance records on various standard benchmarks.
• 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…
• Synthetic Data for Text Localisation in Natural Images
  22 Apr 2016 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  In this paper we introduce a new method for text detection in natural images.

Syntology lines on 18 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.