Browse State-of-the-Art › Scene Text Detection
Scene Text Detection
98 papers with code · 9 benchmarks · 17 datasets archive 2025-07-28
Scene Text Detection is a computer vision task that involves automatically identifying and localizing text within natural images or videos. The goal of scene text detection is to develop algorithms that can robustly detect and and label text with bounding boxes in uncontrolled and complex environments, such as street signs, billboards, or license plates.
Source: ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
9 leaderboard tables shown for this task, 9 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
17 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 98 papers with code (213 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.
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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.
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12 Sep 2016 27 repositories listed Syntology ran 3 of 35 samples · 32 unverified · 1 pointer-only (licence)We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes text lines in natural image.
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28 Mar 2019 19 repositories listedDue 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…
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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.
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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.
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20 Nov 2019 15 repositories listed Syntology ran 3 of 25 samples · 22 unverifiedRecently, 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.
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21 Apr 2021 12 repositories listed Syntology ran 2 of 7 samples · 5 unverifiedOne 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.
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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.
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5 Jan 2018 7 repositories listedIncidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community.
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17 May 2020 6 repositories listedMore specifically, we propose to perceive texts from three levels of feature representations, i.
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16 Aug 2019 6 repositories listed Syntology ran 4 of 28 samples · 24 unverifiedRecently, 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.
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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.
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21 Feb 2022 5 repositories listedBy 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…
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4 Jan 2018 5 repositories listedMost 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…
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12 Mar 2016 5 repositories listedWe show that the model is able to recognize several types of irregular text, including perspective text and curved text.
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3 Mar 2017 4 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedThis paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.
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26 Jan 2016 4 repositories listedThe goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.
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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.
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24 Mar 2020 3 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedSynthetic data has been a critical tool for training scene text detection and recognition models.
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4 Jul 2018 3 repositories listed Syntology ran 1 of 6 samples · 5 unverifiedDriven 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.
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9 Jan 2018 3 repositories listedIn 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.
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27 Jul 2017 3 repositories listedIn 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…
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21 Aug 2023 2 repositories listedIn light of this, we constrain the incorporation of segmentation branches to the first few decoder layers and employ progressive regression refinement in subsequent layers, achieving performance gains while minimizing…
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27 Jun 2023 2 repositories listed Syntology ran 1 of 19 samples · 18 unverifiedNext, we propose a dual assignment scheme for speed acceleration.
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29 Apr 2022 2 repositories listed Syntology ran 5 of 7 samples · 2 unverifiedIn this paper, we specifically adapt vision-language joint learning for scene text detection, a task that intrinsically involves cross-modal interaction between the two modalities: vision and language, since text is the…
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19 Mar 2022 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)End-to-end scene text spotting has attracted great attention in recent years due to the success of excavating the intrinsic synergy of the scene text detection and recognition.
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3 Nov 2021 2 repositories listedWe propose an accurate and efficient scene text detection framework, termed FAST (i.
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12 Apr 2021 2 repositories listedWith a PG-CTC decoder, we gather high-level character classification vectors from two-dimensional space and decode them into text symbols without NMS and RoI operations involved, which guarantees high efficiency.
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28 Mar 2019 2 repositories listedScene text detection, an essential step of scene text recognition system, is to locate text instances in natural scene images automatically.
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25 Mar 2019 2 repositories listedHence, we collect and annotate the ShopSign dataset to advance research in Chinese scene text detection and recognition.
Syntology lines on 16 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.
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