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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/stratosphereips/model_extraction_malware

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Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions

https://github.com/strongman1995/Fast-Adversarial-Watermark-Attack-on-OCR

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FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems

https://github.com/sumanyumuku98/contextual-bias

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Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias

https://github.com/sumitsk/algp

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Active Learning with Gaussian Processes for High Throughput Phenotyping

https://github.com/sungbinlim/GBS

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Neural Bootstrapper

https://github.com/sungbinlim/neuboots

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Neural Bootstrapper

https://github.com/sunkairan/MapReduce-Based-Deep-Learning

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Large-scale Artificial Neural Network: MapReduce-based Deep Learning

https://github.com/sunke123/FW-Net

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Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding

https://github.com/superuier/mdal-pipeline

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Multi-Domain Active Learning: Literature Review and Comparative Study

https://github.com/surajkothawade/talisman

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TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information

https://github.com/svenl13/gale

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Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit

https://github.com/symanto-research/active-few-shot-learning

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Active Few-Shot Learning with FASL

https://github.com/synsin0/effocc

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EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network

https://github.com/systemt2021/slicetuner

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Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models

https://github.com/tal-ai/Robust-learning-MSSHEM

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Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining

https://github.com/tansey-lab/pdbal

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Targeted active learning for probabilistic models

https://github.com/tataganesh/query-efficient-approx-to-improve-ocr

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Document Image Cleaning using Budget-Aware Black-Box Approximation

https://github.com/tencentarc/taggpt

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TagGPT: Large Language Models are Zero-shot Multimodal Taggers

https://github.com/tencentyouturesearch/activelearning-sdm

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Learning Distinctive Margin toward Active Domain Adaptation

https://github.com/tensorflow/models

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Attention-based Extraction of Structured Information from Street View Imagery

https://github.com/testingautomated-usi/corrupted-text

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Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)

https://github.com/testingautomated-usi/dnn-tip

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Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)

https://github.com/testingautomated-usi/simple-tip

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Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)

https://github.com/texttechnologylab/gerparcor

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German Parliamentary Corpus (GerParCor)

https://github.com/tfzhou/ContrastiveSeg

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Exploring Cross-Image Pixel Contrast for Semantic Segmentation

https://github.com/thatswhatsimonsaid/RashomonActiveLearning

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Unique Rashomon Sets for Robust Active Learning

https://github.com/theophil-trippe/HDC_TUBerlin_version_1

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Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images

https://github.com/theroyakash/AKHCRNet

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AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning

https://github.com/thetna/endo-active-learn

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Task-Aware Active Learning for Endoscopic Image Analysis

https://github.com/thomastkok/active-selection-of-classification-features

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Active Selection of Classification Features

https://github.com/thuccslab/figstep

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FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

https://github.com/thufdd/jiaolongdsms_datasets

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Real-time Safety Assessment of Dynamic Systems in Non-stationary Environments: A Review of Methods and Techniques

https://github.com/thufdd/thu-concept-drift-datasets

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Real-time Safety Assessment of Dynamic Systems in Non-stationary Environments: A Review of Methods and Techniques

https://github.com/tijana-zrnic/active-inference

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Active Statistical Inference

https://github.com/timsey/npal

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Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes

https://github.com/tiosisai/bioac-active-learning-eusipco-2025

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Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection

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