SOTAVerified

Text Detection

Detecting the text in the image and localise it using a bounding box. The text can be in any shape and size. We need to localise all such instances of text in the entire image along with bounding box for each word.

Papers

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Showing 301–325 of 595 papers

TitleStatusHype
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection—0
Overcoming Language Disparity in Online Content Classification with Multimodal LearningCode0
TraffSign: Multilingual Traffic Signboard Text Detection and Recognition for Urdu and EnglishCode0
Text Detection & Recognition in the Wild for Robot Localization—0
Arbitrary Shape Text Detection via Boundary TransformerCode2
UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection—0
Text Detection on Technical Drawings for the Digitization of Brown-field Processes—0
Vision-Language Pre-Training for Boosting Scene Text DetectorsCode0
Rethinking Offensive Text Detection as a Multi-Hop Reasoning ProblemCode0
Text Spotting TransformersCode1
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
Towards End-to-End Unified Scene Text Detection and Layout AnalysisCode2
Comprehensive Benchmark Datasets for Amharic Scene Text Detection and Recognition—0
End-to-End Video Text Spotting with TransformerCode1
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text RecognitionCode2
Unified Line and Paragraph Detection by Graph Convolutional Networks—0
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words—0
Kernel Proposal Network for Arbitrary Shape Text DetectionCode1
Real-time Scene Text Detection Based on Global Level and Word Level Features—0
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting—0
DiT: Self-supervised Pre-training for Document Image TransformerCode1
Arbitrary Shape Text Detection using Transformers—0
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale FusionCode7
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ContourNet [69]Precision86.99—Unverified
2DRRG [72]Precision83.87—Unverified
3PSENet [67]Precision78.11—Unverified
4EAST [75]Precision71.48—Unverified
5EASTPrecision70.43—Unverified