Browse State-of-the-Art › Text Spotting
Text Spotting
64 papers with code · 4 benchmarks · 6 datasets archive 2025-07-28
Scene Text Spotting is the combination of Scene Text Detection and Scene Text Recognition in an end-to-end manner. It is the ability to read natural text in the wild.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
4 leaderboard tables shown for this task, 4 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ICDAR 2015 (18 rows) | UNITS | Towards Unified Scene Text Spotting based on Sequence Generation | code | Syntology ran 7 of 8 samples · 1 unverified | Compare |
| Total-Text (12 rows) | DeepSolo (ViTAEv2-S, TextOCR) | DeepSolo: Let Transformer Decoder with Explicit Points Solo for... | code | — | Compare |
| SCUT-CTW1500 (11 rows) | A3S | A3S: Adversarial learning of semantic representations for... | — | — | Compare |
| Inverse-Text (9 rows) | DeepSolo (ViTAEv2-S, TextOCR) | DeepSolo++: Let Transformer Decoder with Explicit Points Solo for... | code | — | Compare |
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
6 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 64 papers with code (112 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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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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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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6 Apr 2024 4 repositories listed Syntology ran 26 of 37 samples · 11 unverified · 23 pointer-only (licence)Subsequently, we introduce a Bridge that connects the locked detector and recognizer through a zero-initialized neural network.
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20 Aug 2023 3 repositories listedTo 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…
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4 Jan 2023 3 repositories listed Syntology ran 5 of 16 samples · 11 unverifiedWithin 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.
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9 Dec 2021 3 repositories listed Syntology ran 16 of 19 samples · 3 unverified · 19 pointer-only (licence)Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data.
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17 Sep 2019 3 repositories listedWe present a scenario where semantic similarity is not enough, and we devise a neural approach to learn semantic relatedness.
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29 Oct 2018 3 repositories listedWe 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.
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5 Aug 2022 2 repositories listedIn recent years, the dominant paradigm for text spotting is to combine the tasks of text detection and recognition into a single end-to-end framework.
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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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23 Jun 2021 2 repositories listedA large scale human-labeled dataset plays an important role in creating high quality deep learning models.
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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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3 Aug 2020 2 repositories listedUnlike previous works that merely employed visual features for text detection, this work proposes a novel text spotter, named Ambiguity Eliminating Text Spotter (AE TextSpotter), which learns both visual and linguistic…
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10 Dec 2019 2 repositories listedDeep learning based methods have achieved surprising progress in Scene Text Recognition (STR), one of classic problems in computer vision.
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28 May 2025 1 repository listedWe believe that GoMatching++ and the ArTVideo benchmark will drive future advancements in video text spotting.
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14 Apr 2025 1 repository listedFor example, it outperforms previous state-of-the-art SSL methods by a large margin on end-to-end spotting (+8.
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9 Mar 2025 1 repository listedVisual Place Recognition (VPR) is a crucial capability for long-term autonomous robots, enabling them to identify previously visited locations using visual information.
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22 Feb 2025 1 repository listedIn this paper, we introduce OmniParser V2, a universal model that unifies VsTP typical tasks, including text spotting, key information extraction, table recognition, and layout analysis, into a unified framework.
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20 Dec 2024 1 repository listedIn the field of scene text spotting, previous OCR methods primarily relied on image encoders and pre-trained text information, but they often overlooked the advantages of incorporating human language instructions.
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27 Aug 2024 1 repository listedThe proliferation of scene text in both structured and unstructured environments presents significant challenges in optical character recognition (OCR), necessitating more efficient and robust text spotting solutions.
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1 Aug 2024 1 repository listedUnfortunately, this denoising training method cannot be directly applied to text spotting tasks, as these tasks need to perform irregular shape detection tasks and more complex text recognition tasks than classification.
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28 Jul 2024 1 repository listed Syntology ran 8 of 11 samples · 3 unverified · 11 pointer-only (licence)In this work, we formulate this challenging problem as a Weakly Supervised Cross-modality Contrastive Learning problem, and design a simple yet effective model dubbed WeCromCL that is able to detect each transcription…
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30 Apr 2024 1 repository listedTypically, we propose a Prompt Queries Generation Module and a Tasks-aware Adapter to effectively convert the original single-task model into a multi-task model suitable for both image and video scenarios with minimal…
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28 Mar 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverifiedRecently, visually-situated text parsing (VsTP) has experienced notable advancements, driven by the increasing demand for automated document understanding and the emergence of Generative Large Language Models (LLMs)…
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7 Mar 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)We present TextMonkey, a large multimodal model (LMM) tailored for text-centric tasks.
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15 Jan 2024 1 repository listedIn this paper, we propose a new end-to-end scene text spotting framework termed SwinTextSpotter v2, which seeks to find a better synergy between text detection and recognition.
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13 Jan 2024 1 repository listedIn response to this issue, we propose to efficiently turn an off-the-shelf query-based image text spotter into a specialist on video and present a simple baseline termed GoMatching, which focuses the training efforts on…
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8 Jan 2024 1 repository listedIn this paper, we propose a novel Global Video Text Spotting Transformer GloTSFormer to model the tracking problem as global associations and utilize the Gaussian Wasserstein distance to guide the morphological…
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1 Jan 2024 1 repository listedRecently visually-situated text parsing (VsTP) has experienced notable advancements driven by the increasing demand for automated document understanding and the emergence of Generative Large Language Models (LLMs)…
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21 Dec 2023 1 repository listedDespite CLIP being the foundation model in numerous vision-language applications, the CLIP suffers from a severe text spotting bias.
Syntology lines on 8 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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