Papers with Code 아카이브
Optical Character Recognition (OCR)
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Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences
Near-Polynomially Competitive Active Logistic Regression
DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends
Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices
Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning
MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials
PaddleOCR 3.0 Technical Report
TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques
Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration
Active Learning for Manifold Gaussian Process Regression
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images
Logios : An open source Greek Polytonic Optical Character Recognition system
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
A Transformer Based Handwriting Recognition System Jointly Using Online and Offline Features
Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation
Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
An accurate and revised version of optical character recognition-based speech synthesis using LabVIEW
Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation
FormGym: Doing Paperwork with Agents
Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification
Efficient Medical VIE via Reinforcement Learning
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
Coupled reaction and diffusion governing interface evolution in solid-state batteries
Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments
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