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/YifeiY/hanzi_recognition

Drawing and Recognizing Chinese Characters with Recurrent Neural Network

https://github.com/Yuting-Gao/CRNN_Mxnet

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

https://github.com/YuuuuXie/Stanene_FLARE

Bayesian Force Fields from Active Learning for Simulation of Inter-Dimensional Transformation of Stanene

https://github.com/ZXdatascience/TextDetectorAndroid

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/a-martyn/unet

LSTM: A Search Space Odyssey

https://github.com/aai-institute/pyDVL

Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning

https://github.com/aaronchen0316/flare

Bayesian Force Fields from Active Learning for Simulation of Inter-Dimensional Transformation of Stanene

https://github.com/abdulwaheedsoudagar/ImageTextTranslation

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

https://github.com/abhiraman/Capstone_Project

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

https://github.com/acl21/deep-active-learning-pytorch

Towards Robust and Reproducible Active Learning Using Neural Networks

https://github.com/adheep04/LeNet-5

https://github.com/adlnlp/doc_gcn

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

https://github.com/aghasemi/alpud

Active Learning from Positive and Unlabeled Data

https://github.com/agiletechvn/moran_v2_text_recognition

A Multi-Object Rectified Attention Network for Scene Text Recognition

https://github.com/agusdmb/Active-Learning-Framework

Active Learning Using Uncertainty Information

https://github.com/airi-institute/al_toolbox

Bayesian Active Learning for Classification and Preference Learning

https://github.com/aizhiqi-work/MM-KWS

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

https://github.com/alemol/flat

Active learning in annotating micro-blogs dealing with e-reputation

https://github.com/alexandervnikitin/tsgm

Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations

https://github.com/alexandrujeman/dqn

LSTM: A Search Space Odyssey

https://github.com/alexhernandezgarcia/gflownet

Multi-Fidelity Active Learning with GFlowNets

https://github.com/alexjeman/dqn

LSTM: A Search Space Odyssey

https://github.com/aliiafkari/SUT_Dataset

https://github.com/alililia/ascend_advanced_east

EAST: An Efficient and Accurate Scene Text Detector

https://github.com/alonzi/cv

The Future of Data Science Education

https://github.com/amazon-research/semimtr-text-recognition

Sequence-to-Sequence Contrastive Learning for Text Recognition

https://github.com/amazon-science/semimtr-text-recognition

Sequence-to-Sequence Contrastive Learning for Text Recognition

https://github.com/amirabbasasadi/PersianOCR

Implicit Language Model in LSTM for OCR

https://github.com/amzn/convolutional-handwriting-gan

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

https://github.com/andreasgrv/emojivote

Deep Deterministic Uncertainty: A Simple Baseline

https://github.com/andris955/diplomaterv

Learning to Multi-Task by Active Sampling

https://github.com/anitoanto/alus-package

covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learning

https://github.com/anndvision/causal-bald

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

https://github.com/anoopsanka/retinal_oct

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology

https://github.com/anuragbaurai/Portable-camera-based-assistive-text-reader-for-blind-persons

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

https://github.com/anuragcp/iocl-deepocr

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.