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 201–250 of 595 papers

TitleStatusHype
FaSTExt: Fast and Small Text Extractor—0
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation—0
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review—0
Feature Enhancement Network: A Refined Scene Text Detector—0
Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction—0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
Language Models Optimized to Fool Detectors Still Have a Distinct Style (And How to Change It)—0
License Plate Recognition Based On Multi-Angle View Model—0
TextSleuth: Towards Explainable Tampered Text Detection—0
ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability—0
Evaluation of Deep Learning Models for Hostility Detection in Hindi Text—0
CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media—0
AGENT-X: Adaptive Guideline-based Expert Network for Threshold-free AI-generated teXt detection—0
Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments—0
Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection—0
ChartEye: A Deep Learning Framework for Chart Information Extraction—0
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition—0
ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene—0
A fine-grained approach to scene text script identification—0
Enhanced Characterness for Text Detection in the Wild—0
English offensive text detection using CNN based Bi-GRU model—0
Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts—0
Applying Ensemble Methods to Model-Agnostic Machine-Generated Text Detection—0
A Novel Scene Text Detection Algorithm Based On Convolutional Neural Network—0
EK-Net:Real-time Scene Text Detection with Expand Kernel Distance—0
You Only Recognize Once: Towards Fast Video Text Spotting—0
GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection—0
Character Region Attention For Text Spotting—0
Efficient Scene Text Detection with Textual Attention Tower—0
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection—0
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection—0
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis—0
CPN: Complementary Proposal Network for Unconstrained Text Detection—0
How do Convolutional Neural Networks Learn Design?—0
Efficiently Leveraging Linguistic Priors for Scene Text Spotting—0
A Single Shot Text Detector with Scale-adaptive Anchors—0
Character Proposal Network for Robust Text Extraction—0
IndicSTR12: A Dataset for Indic Scene Text Recognition—0
Inverse-like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic Sampling—0
ICDAR 2015 Text Reading in the Wild Competition—0
Characterness: An Indicator of Text in the Wild—0
Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning—0
EAGLE: A Domain Generalization Framework for AI-generated Text Detection—0
ICDAR 2021 Competition on Scene Video Text Spotting—0
A Novel Integrated Framework for Learning both Text Detection and Recognition—0
ICDAR 2023 Competition on Reading the Seal Title—0
ICDAR 2023 Video Text Reading Competition for Dense and Small Text—0
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining—0
Image Processing Based Scene-Text Detection and Recognition with Tesseract—0
DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents—0
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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