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Optical Character Recognition

Papers

Showing 2650 of 526 papers

TitleStatusHype
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documentsCode1
Confidence-aware Non-repetitive Multimodal Transformers for TextCapsCode1
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding DatasetCode1
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map ImagesCode1
A Large Multi-Target Dataset of Common Bengali Handwritten GraphemesCode1
FUNSD: A Dataset for Form Understanding in Noisy Scanned DocumentsCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?Code1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text SpotterCode1
Hespi: A pipeline for automatically detecting information from hebarium specimen sheetsCode1
Iranis: A Large-scale Dataset of Farsi License Plate CharactersCode1
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video EnvironmentsCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
BankNote-Net: Open dataset for assistive universal currency recognitionCode1
bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali DocumentsCode1
Boosting on the shoulders of giants in quantum device calibrationCode1
Geometry Restoration and Dewarping of Camera-Captured Document ImagesCode1
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) SystemsCode1
hmBERT: Historical Multilingual Language Models for Named Entity RecognitionCode1
GenKIE: Robust Generative Multimodal Document Key Information ExtractionCode1
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text ImagesCode1
Efficient OCR for Building a Diverse Digital HistoryCode1
Lexically Aware Semi-Supervised Learning for OCR Post-CorrectionCode1
A Two-Step Approach for Automatic OCR Post-CorrectionCode1
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