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/A-ZHANG1/PSENet

Shape Robust Text Detection with Progressive Scale Expansion Network

https://github.com/AI4Bharat/indicTrans

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

https://github.com/Antika-Roy/TextDetectionAndRecognition

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/AyeshaAmjad0828/Unstructured-Data-Extraction

An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents

https://github.com/BBloggsbott/k-armed-bandits

A Tutorial on Thompson Sampling

https://github.com/BachoSeven/stellestelline

Image-to-Markup Generation with Coarse-to-Fine Attention

https://github.com/Belval/NRTR

NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition

https://github.com/BharadwajYellapragada/Effective-Handwritten-Digit-Recognition-using-Deep-Convolution-Neural-Network

https://github.com/BlackHC/batchbald_redux

BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

https://github.com/BlackHC/ddu_dirty_mnist

Deep Deterministic Uncertainty: A Simple Baseline

https://github.com/Brain-Inspired-Computing/Final-Project

A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition

https://github.com/BruceChanJianLe/Image-Text-Recognition

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/CCLDArjun/Arjun-EAST

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/CFEL-CMI/Active-Learning-of-PES

libact: Pool-based Active Learning in Python

https://github.com/CT2001/image-to-latex

Image-to-Markup Generation with Coarse-to-Fine Attention

https://github.com/CT2001/image-to-latex-biology

Image-to-Markup Generation with Coarse-to-Fine Attention

https://github.com/Canjie-Luo/Text-Image-Augmentation

Decoupled Attention Network for Text Recognition

https://github.com/Chris10M/RFB-Text-Detection

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/CodeAchieveDream/crnn_model

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/CompRhys/roost

Active learning based generative design for the discovery of wide bandgap materials

https://github.com/Crespo-dong/caffe_ocr

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/DCSong/CRNN-DenseNet

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/DVLP-CMATERJU/Skip-Connected-Multi-column-Network

A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition

https://github.com/Daniil-Selikhanovych/bnn-vi

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

https://github.com/Darshansingh11/AVLectures

Unsupervised Audio-Visual Lecture Segmentation

https://github.com/DataScienceNigeria/Artificial-Intelligence-for-Democracy-in-Nigeria

NASS-AI: Towards Digitization of Parliamentary Bills using Document Level Embedding and Bidirectional Long Short-Term Memory

https://github.com/DePengW/PSENet

Shape Robust Text Detection with Progressive Scale Expansion Network

https://github.com/DnanaDev/CRNN_for_OCR

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/Evezerest/DocRec

PP-OCR: A Practical Ultra Lightweight OCR System

https://github.com/FLming/CRNN.tf2

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/FaceOnLive/ID-Card-Passport-Recognition-SDK-Android

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/FaceOnLive/License-Plate-Recognition-SDK-Android

A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

https://github.com/FudanVI/FudanOCR/tree/main/scene-text-telescope

https://github.com/GeorgeLuImmortal/Adaptive-Tuning-Active-Learning

Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets

https://github.com/GeorgeLuImmortal/Effectiveness-of-Pretrained-Transformer-based-Language-Models-in-Active-Learning-for-Labelling-Data

Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets

https://github.com/GitYCC/crnn-pytorch

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.