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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 595 papers

TitleStatusHype
Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRTCode1
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text DetectionCode1
Bridging Synthetic and Real Worlds for Pre-training Scene Text DetectorsCode1
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text SpotterCode1
Detecting Multi-Oriented Text with Corner-based Region ProposalsCode1
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative LikelihoodCode1
CORE-Text: Improving Scene Text Detection with Contrastive Relational ReasoningCode1
Dictionary-Guided Scene Text RecognitionCode1
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text DetectionCode1
CentripetalText: An Efficient Text Instance Representation for Scene Text DetectionCode1
DiT: Self-supervised Pre-training for Document Image TransformerCode1
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and RecognitionCode1
A Multiplexed Network for End-to-End, Multilingual OCRCode1
DALD: Improving Logits-based Detector without Logits from Black-box LLMsCode1
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation NetworkCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
CLEval: Character-Level Evaluation for Text Detection and Recognition TasksCode1
MGTBench: Benchmarking Machine-Generated Text DetectionCode1
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive LearningCode1
Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text DetectionCode1
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text DetectionCode1
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel RepresentationCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text DetectionCode1
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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