Papers with Code 아카이브

Optical Character Recognition (OCR)

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하위 태스크: 10
평가표: 6
보존된 평가 기록: 20

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)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/aair-lab/qace

공식 코드

Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)

https://github.com/aaivu/tamizhi-net-ocr

공식 코드

Adapting the Tesseract Open-Source OCR Engine for Tamil and Sinhala Legacy Fonts and Creating a Parallel Corpus for Tamil-Sinhala-English

https://github.com/aaltoml/sequential-gp

공식 코드

Memory-Based Dual Gaussian Processes for Sequential Learning

https://github.com/aaltopml/human-in-the-loop-predictive-maintenance

공식 코드

Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations

https://github.com/abass77/rmz

공식 코드

MRZ code extraction from visa and passport documents using convolutional neural networks

https://github.com/abdoelsayed2016/HKR_Dataset

공식 코드

HKR For Handwritten Kazakh & Russian Database

https://github.com/abdoelsayed2016/KOHTD

공식 코드

KOHTD: Kazakh Offline Handwritten Text Dataset

https://github.com/abdullahsohaill/cs6303-researchproject

공식 코드

Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource Scripts

https://github.com/abdur75648/UTRNet-High-Resolution-Urdu-Text-Recognition

공식 코드

UTRNet: High-Resolution Urdu Text Recognition In Printed Documents

https://github.com/abhijeetptl5/historoi

공식 코드

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

https://github.com/abhishekbamotra/transdocs

공식 코드

TransDocs: Optical Character Recognition with word to word translation

https://github.com/abiy-tasissa/VAE-LAND

공식 코드

Deep Diffusion Processes for Active Learning of Hyperspectral Images

https://github.com/ablancha/gpsearch

공식 코드

Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification

https://github.com/acerbilab/vsbq

공식 코드

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature

https://github.com/acl21/init-pools-dal

공식 코드

On Initial Pools for Deep Active Learning

https://github.com/ad-freiburg/tokenization-repair

공식 코드

Tokenization Repair in the Presence of Spelling Errors

https://github.com/adamaxelsson/project-marginalia

공식 코드

Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition

https://github.com/adgaudio/O-MedAL

공식 코드

O-MedAL: Online Active Deep Learning for Medical Image Analysis

https://github.com/adityasaini70/unravel

공식 코드

Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability

https://github.com/ahachang/mitigate

공식 코드

Multitask Active Learning for Graph Anomaly Detection

https://github.com/ahalterman/ngec

공식 코드

Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks

https://github.com/ahmad-shirazi/AnnotMLLM

공식 코드

DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness

https://github.com/ahmad-shirazi/docparsenet

공식 코드

DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation

https://github.com/ai-application-and-integration-lab/ridge

공식 코드

Relation-Rich Visual Document Generator for Visual Information Extraction

https://github.com/aigtext/glyphcontrol-release

공식 코드

GlyphControl: Glyph Conditional Control for Visual Text Generation

https://github.com/ailab-unifi/gnn-tableextraction

공식 코드

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

https://github.com/aim-lab/LUNet

공식 코드

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

https://github.com/aim-uofa/DiverGen

공식 코드

Generative Active Learning for Long-tailed Instance Segmentation

https://github.com/aimat-lab/PAL

공식 코드

PAL -- Parallel active learning for machine-learned potentials

https://github.com/aimat-lab/coarse-graining-al

공식 코드

Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations

https://github.com/aimotive/Compute-Efficient-Active-Learning

공식 코드

Compute-Efficient Active Learning

https://github.com/airi-institute/al_ats

공식 코드

Active Learning for Abstractive Text Summarization

https://github.com/airi-institute/al_nlp_feasible

공식 코드

Towards Computationally Feasible Deep Active Learning

https://github.com/ajaxmulticommentary/gt-commentaries-ocr

공식 코드

Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs

https://github.com/ajedgley/rebound

공식 코드

ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning

https://github.com/ajgates42/clusim

공식 코드

The Impact of Random Models on Clustering Similarity

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