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/COINtoolbox/RESSPECT

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Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients

https://github.com/Canjie-Luo/MORAN_v2

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A Multi-Object Rectified Attention Network for Scene Text Recognition

https://github.com/Canjie-Luo/Scene-Text-Image-Transformer

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Decoupled Attention Network for Text Recognition

https://github.com/ChWick/ocropy

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Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks

https://github.com/CoRiis/active-learning-fbgp

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Bayesian Active Learning with Fully Bayesian Gaussian Processes

https://github.com/Coolshanlan/DDFH-active-3Ddet

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Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection

https://github.com/CrickWu/Swtich-DDQ

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Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning

https://github.com/DCGM/B-MOD

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Brno Mobile OCR Dataset

https://github.com/DCGM/pero-ocr

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AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions

https://github.com/DIVA-DIA/Generating-Synthetic-Handwritten-Historical-Documents

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Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs

https://github.com/DebanjanaKar/ArgFuse

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ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation

https://github.com/DeepLearningResearch/DEAL

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DEAL: Deep Evidential Active Learning for Image Classification

https://github.com/ElementAI/active-fairness

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Can Active Learning Preemptively Mitigate Fairness Issues?

https://github.com/ElementAI/baal

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Bayesian active learning for production, a systematic study and a reusable library

https://github.com/ElementAI/synbols

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Synbols: Probing Learning Algorithms with Synthetic Datasets

https://github.com/ElementAI/synbols-benchmarks

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Synbols: Probing Learning Algorithms with Synthetic Datasets

https://github.com/FactoDeepLearning/LinePytorchOCR

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Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network

https://github.com/FactoDeepLearning/SPAN

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SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition

https://github.com/FactoDeepLearning/VerticalAttentionOCR

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End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network

https://github.com/FilVa/PD-Rank

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Ranking with Confidence for Large Scale Comparison Data

https://github.com/FrankZxShen/ATS

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Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question Answering

https://github.com/GXYM/DRRG

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Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

https://github.com/GabrieleLagani/SpikingGrid

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Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation

https://github.com/GarfieldLyu/OCR_POST_DE

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Neural OCR Post-Hoc Correction of Historical Corpora

https://github.com/GhostAnderson/Nearest-Neighbor-Classifier-with-Margin-Penalty-for-Active-Learning

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Nearest Neighbor Classifier with Margin Penalty for Active Learning

https://github.com/HIT-ICES/AL-NER

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LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition

https://github.com/HaoZhongkai/AS_Molecule

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ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

https://github.com/HelenMa9998/Selective_Uncertainty_AL

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Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation

https://github.com/Henrium/ET-AL

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ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data

https://github.com/ICMLA-SAFL/SAFL_pytorch

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SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

https://github.com/IDEALLab/Active-Expansion-Sampling

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Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space

https://github.com/IITB-LEAP-OCR/TEXTRON

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TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming

https://github.com/IntuitionMachines/OrigamiNet

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OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold

https://github.com/IuryBAS/ProtoAL_paper

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ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging

https://github.com/JC230903/NLP-low-resource-pipeline-for-indian-languages/tree/main/pythonversion

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Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline

https://github.com/JialongJiang/Active_learning_spin

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Active Learning of Spin Network Models

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