SOTAVerified

Text Spotting

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.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 112 papers

TitleStatusHype
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text SpottingCode0
You Only Recognize Once: Towards Fast Video Text SpottingCode0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
A Feasible Framework for Arbitrary-Shaped Scene Text RecognitionCode0
Single Shot Self-Reliant Scene Text Spotter by Decoupled yet Collaborative Detection and RecognitionCode0
Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting PerformanceCode0
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesCode0
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text SpottingCode0
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text SpottingCode0
Open Images V5 Text Annotation and Yet Another Mask Text SpotterCode0
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text SpottingCode0
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language ModelsCode0
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesCode0
Word length-aware text spotting: Enhancing detection and recognition in dense text image—0
A3S: Adversarial learning of semantic representations for Scene-Text Spotting—0
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting—0
A pooling based scene text proposal technique for scene text reading in the wild—0
Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance—0
ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter—0
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration—0
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing—0
Block-level Text Spotting with LLMs—0
Cascaded Segmentation-Detection Networks for Word-Level Text Spotting—0
Character Region Attention For Text Spotting—0
CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition—0
Deep Neural Network for Semantic-based Text Recognition in Images—0
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting—0
Deformation Robust Text Spotting with Geometric Prior—0
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes—0
Mixed Text Recognition with Efficient Parameter Fine-Tuning and Transformer—0
Efficiently Leveraging Linguistic Priors for Scene Text Spotting—0
Enhanced Characterness for Text Detection in the Wild—0
Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments—0
Hear the Scene: Audio-Enhanced Text Spotting—0
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction—0
ICDAR 2021 Competition on Scene Video Text Spotting—0
ICDAR 2023 Video Text Reading Competition for Dense and Small Text—0
Inductive Visual Localisation: Factorised Training for Superior Generalisation—0
Inverse-like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic Sampling—0
LOGO: Video Text Spotting with Language Collaboration and Glyph Perception Model—0
Modeling Entities as Semantic Points for Visual Information Extraction in the Wild—0
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts—0
Reading Text in the Wild with Convolutional Neural Networks—0
A method for detecting text of arbitrary shapes in natural scenes that improves text spotting—0
Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate—0
Text-Aware Image Restoration with Diffusion Models—0
TextBlockV2: Towards Precise-Detection-Free Scene Text Spotting with Pre-trained Language Model—0
Show:102550
← PrevPage 2 of 3Next →
All datasetsICDAR 2015Total-TextSCUT-CTW1500Inverse-Text

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UNITSF-measure (%) - Strong Lexicon89—Unverified
2DeepSolo (ViTAEv2-S, TextOCR)F-measure (%) - Strong Lexicon88.1—Unverified
3DeepSolo(ResNet-50, TextOCR)F-measure (%) - Strong Lexicon88—Unverified
4DeepSolo(ResNet-50)F-measure (%) - Strong Lexicon86.8—Unverified
5SRTSF-measure (%) - Strong Lexicon85.6—Unverified
6TESTRF-measure (%) - Strong Lexicon85.2—Unverified
7A3SF-measure (%) - Strong Lexicon84.8—Unverified
8GLASSF-measure (%) - Strong Lexicon84.7—Unverified
9SwinTextSpotterF-measure (%) - Strong Lexicon83.9—Unverified
10FOTSF-measure (%) - Strong Lexicon83.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepSolo (ViTAEv2-S, TextOCR)F-measure (%) - No Lexicon83.6—Unverified
2DeepSolo (ResNet-50, TextOCR)F-measure (%) - No Lexicon82.5—Unverified
3DeepSolo (ResNet-50)F-measure (%) - No Lexicon79.7—Unverified
4A3SF-measure (%) - No Lexicon79.4—Unverified
5UNITSF-measure (%) - No Lexicon78.7—Unverified
6GLASSF-measure (%) - No Lexicon76.6—Unverified
7DEERF-measure (%) - No Lexicon74.8—Unverified
8SwinTextSpotterF-measure (%) - No Lexicon74.3—Unverified
9TESTRF-measure (%) - No Lexicon73.3—Unverified
10MANGOF-measure (%) - No Lexicon72.9—Unverified
#ModelMetricClaimedVerifiedStatus
1A3SF-measure (%) - No Lexicon64.4—Unverified
2DeepSolo (ResNet-50)F-measure (%) - No Lexicon64.2—Unverified
3SPTSF-measure (%) - No Lexicon63.6—Unverified
4ABINet++F-measure (%) - No Lexicon60.2—Unverified
5TPSNetF-measure (%) - No Lexicon59.7—Unverified
6MANGOF-measure (%) - No Lexicon58.9—Unverified
7ABCNet v2F-measure (%) - No Lexicon57.5—Unverified
8TextPerceptronF-measure (%) - No Lexicon57—Unverified
9TESTRF-measure (%) - No Lexicon56—Unverified
10SwinTextSpotterF-measure (%) - No Lexicon51.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepSolo (ViTAEv2-S, TextOCR)F-measure (%) - No Lexicon68.8—Unverified
2DeepSolo (ResNet-50, TextOCR)F-measure (%) - No Lexicon64.6—Unverified
3SwinTextSpotterF-measure (%) - No Lexicon55.4—Unverified
4DeepSolo (ResNet-50)F-measure (%) - No Lexicon48.5—Unverified
5MaskTextSpotter v2F-measure (%) - No Lexicon39—Unverified
6SPTSF-measure (%) - No Lexicon38.3—Unverified
7ABCNet v2F-measure (%) - No Lexicon34.5—Unverified
8TESTRF-measure (%) - No Lexicon34.2—Unverified
9ABCNetF-measure (%) - No Lexicon22.2—Unverified