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/valfride/lpr-rsr-ext

공식 코드

Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers

https://github.com/valfride/lpsr-lacd

공식 코드

Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach

https://github.com/valfride/lpsrgan

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Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark

https://github.com/valley-vl/fashionlogo

공식 코드

FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings

https://github.com/vania-mendonca/Onception

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Onception: Active Learning with Expert Advice for Real World Machine Translation

https://github.com/vardhah/epsilon_weighted_hybrid_query_strategy

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Deep Active Learning for Regression Using $ε$-weighted Hybrid Query Strategy

https://github.com/veason-silverbullet/vitlp

공식 코드

Visually Guided Generative Text-Layout Pre-training for Document Intelligence

https://github.com/vgsatorras/few-shot-gnn

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Few-Shot Learning with Graph Neural Networks

https://github.com/victor-nasc/Vehicle-Licence-Plate-Recognition

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Efficient Video-Based ALPR System Using YOLO and Visual Rhythm

https://github.com/vida-nyu/city-surfaces

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CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials

https://github.com/video-db/ocr-benchmark

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Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments

https://github.com/virajprabhu/clue

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Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

https://github.com/vista-h/hyperpartisan-news-titles

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Computational Assessment of Hyperpartisanship in News Titles

https://github.com/vivaansinghvi07/smoky-mountain-data-comp

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High-Throughput Phenotyping using Computer Vision and Machine Learning

https://github.com/vivian-wzj/dataoptimization-cv

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A Survey of Dataset Refinement for Problems in Computer Vision Datasets

https://github.com/vivian-wzj/datasetrefinement-cv

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A Survey of Dataset Refinement for Problems in Computer Vision Datasets

https://github.com/viviencabannes/active-labeling

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Active Labeling: Streaming Stochastic Gradients

https://github.com/vl2g/floco

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Towards Making Flowchart Images Machine Interpretable

https://github.com/vladan-stojnic/active-outliers

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Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning

https://github.com/vlgiitr/Are-VLMs-Really-Blind

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Are VLMs Really Blind

https://github.com/vprlab/iexam

공식 코드

iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition

https://github.com/vwz/AGE

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Active Learning for Graph Embedding

https://github.com/wagner-group/active-learning

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Continuous Learning for Android Malware Detection

https://github.com/walkerworldpeace/mllmerging

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Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging

https://github.com/wambodns/gsaal

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Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data

https://github.com/wang-ml-lab/multi-domain-active-learning

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Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

https://github.com/wangkua1/apd_public

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Adversarial Distillation of Bayesian Neural Network Posteriors

https://github.com/wayne0908/Active-Learning-Homology

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Finding the Homology of Decision Boundaries with Active Learning

https://github.com/we1pingyu/CALD

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Consistency-based Active Learning for Object Detection

https://github.com/webis-de/acl22-revisiting-uncertainty-based-query-strategies-for-active-learning-with-transformers

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Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

https://github.com/webis-de/small-text

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Small-Text: Active Learning for Text Classification in Python

https://github.com/weizheliu/People-Flows

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Counting People by Estimating People Flows

https://github.com/wenet-e2e/wenetspeech

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WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

https://github.com/wenjinw/latin-prompt

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Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering

https://github.com/wenwenyu/PICK-pytorch

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PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

https://github.com/wernerth94/a-cross-domain-benchmark-for-active-learning

공식 코드

A Cross-Domain Benchmark for Active Learning

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