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/archit120/Risk-Aware-Active-IRL

Risk-Aware Active Inverse Reinforcement Learning

https://github.com/argman/EAST

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/argonne-lcf/active-learning-md

Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide

https://github.com/ari9dam/ILPME

Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples

https://github.com/ariapoy/alipy

ALiPy: Active Learning in Python

https://github.com/arshjot/ScrabbleGAN

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

https://github.com/arthurbra/stm-corpus/blob/master/README.md

Domain-independent Extraction of Scientific Concepts from Research Articles

https://github.com/arvindrajan92/DTrOCR

DTrOCR: Decoder-only Transformer for Optical Character Recognition

https://github.com/ashley-kim521/11785-project-active-learning-for-YOLO

Learning Loss for Active Learning

https://github.com/aspnetcs/myim2latex-tensorflow-docker

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

https://github.com/astirn/variational-variance

Reliable training and estimation of variance networks

https://github.com/awasthiabhijeet/PIE

Parallel Iterative Edit Models for Local Sequence Transduction

https://github.com/axondeepseg/axondeepseg

Deep Active Learning for Axon-Myelin Segmentation on Histology Data

https://github.com/bai-shang/CRNN_CTC_Tensorflow

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

https://github.com/bai-shang/OCR_TF_CRNN_CTC

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

https://github.com/bai-shang/crnn_ctc_ocr.Tensorflow

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

https://github.com/bai-shang/crnn_ctc_ocr_tf

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

https://github.com/benjaminbeilharz/hierarchical-reinforcement-learning

Self-Regulated Interactive Sequence-to-Sequence Learning

https://github.com/bgshih/crnn

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

https://github.com/bharathrajcl/Multimodal-deep-networks-for-text-and-image-based-document-classification

Multimodal deep networks for text and image-based document classification

https://github.com/bharatsush/TextSpotting

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

https://github.com/bhavitvyamalik/OCR-using-CRNN

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

https://github.com/bhuiyanmobasshir94/Bengali.AI-Handwritten-Grapheme-Classification

A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

https://github.com/biolearning-stadius/rdkit

ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning

https://github.com/blackhc/active-bayesian-coresets

Active Learning for Convolutional Neural Networks: A Core-Set Approach

https://github.com/blackhc/active_learning_redux

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

https://github.com/brain-research/ncp

Noise Contrastive Priors for Functional Uncertainty

https://github.com/brightyoun/TITS-LPST

An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector

https://github.com/broshanfekr/Active-Semi-Supervised-Learning-Using-Sampling-Theory-for-Graph-signals

Active Semi-Supervised Learning Using Sampling Theory for Graph Signals

https://github.com/caihuaiguang/CHG-Shapley-for-Data-Selection

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

https://github.com/cambridge-mlg/BALaudiogram

Bayesian Active Learning for Classification and Preference Learning

https://github.com/carnotaur/crnn-tutorial

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

https://github.com/chandan5362/Indian-Number-Plate-Recognition

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

https://github.com/chanlaw/assistive-bandits

Cooperative Inverse Reinforcement Learning

https://github.com/charlesq9/alita

On Path to Multimodal Historical Reasoning: HistBench and HistAgent

https://github.com/chauthehan/CRNN_OCR_CMND

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.