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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.
Language Model-Enhanced Message Passing for Heterophilic Graph Learning
Efficient Deconvolution in Populational Inverse Problems
Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging
Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
LLM-Guided Taxonomy and Hierarchical Uncertainty for 3D Point CLoud Active Learning
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation
ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis
Alignment and Safety of Diffusion Models via Reinforcement Learning and Reward Modeling: A Survey
TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis
One RL to See Them All: Visual Triple Unified Reinforcement Learning
TokBench: Evaluating Your Visual Tokenizer before Visual Generation
What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse
Cohort-Based Active Modality Acquisition
ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning
A Simple Approximation Algorithm for Optimal Decision Tree
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR
Path-integral molecular dynamics with actively-trained and universal machine learning force fields
An active learning framework for multi-group mean estimation
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting
Active Learning on Synthons for Molecular Design
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?
Analyzing Patterns and Influence of Advertising in Print Newspapers
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
Towards Self-Improvement of Diffusion Models via Group Preference Optimization
Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents
PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language
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