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.
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration
Enhancing the Efficiency of Complex Systems Crystal Structure Prediction by Active Learning Guided Machine Learning Potential
A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Gameplay Highlights Generation
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Accelerating Battery Material Optimization through iterative Machine Learning
Active Learning for Multi-class Image Classification
Constrained Online Decision-Making: A Unified Framework
Compact and Efficient Neural Networks for Image Recognition Based on Learned 2D Separable Transform
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Development of a WAZOBIA-Named Entity Recognition System
Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark
Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction Encoding
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
GFlowNets for Active Learning Based Resource Allocation in Next Generation Wireless Networks
ChemRxivQuest: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv Preprints
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval
DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Label-efficient Single Photon Images Classification via Active Learning
RAFT: Robust Augmentation of FeaTures for Image Segmentation
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning
SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
The Search for Squawk: Agile Modeling in Bioacoustics
TActiLE: Tiny Active LEarning for wearable devices
Reduced-order structure-property linkages for stochastic metamaterials
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer
Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
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