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 1–10 of 112 papers

TitleStatusHype
Text-Aware Image Restoration with Diffusion Models—0
GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and BenchmarkingCode1
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text SpottingCode1
TextInPlace: Indoor Visual Place Recognition in Repetitive Structures with Scene Text Spotting and VerificationCode1
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language ModelsCode0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Hear the Scene: Audio-Enhanced Text Spotting—0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance—0
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction—0
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All datasetsICDAR 2015Total-TextSCUT-CTW1500Inverse-Text

Benchmark Results

#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