https://github.com/PaddleEdu/OCR-models-PaddlePaddle/tree/main/PSENet
Shape Robust Text Detection with Progressive Scale Expansion Network
Papers with Code 아카이브
Optical Character Recognition (OCR)
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- 평가표
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- 보존된 평가 기록
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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/PaddlePaddle/PaddleSeg
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
https://github.com/Pay20Y/SAR_TF
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
https://github.com/PhamQuocHuy1101/transfer-learning-template/blob/master/network/henet.py
https://github.com/PierreSenellart/theoremkb
https://github.com/Pratik08/vis-dss
Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization
https://github.com/PratirupG/Handwriting-Recognition
https://github.com/RajArPatra/Super-OCR
A Survey of Deep Learning Approaches for OCR and Document Understanding
https://github.com/Rapfff/Learning-Probabilistic-models
Active Learning of Markov Decision Processes using Baum-Welch algorithm (Extended)
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
Cost-Effective Active Learning for Deep Image Classification
https://github.com/Riashat/Active-Learning-Bayesian-Convolutional-Neural-Networks
https://github.com/RohanAsnani/capstone_project_machine_learning-nanodegree
https://github.com/SURFZJY/Real-time-Text-Detection
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/SYR-Aegis/BrailleOCR
https://github.com/SakuraRiven/EAST
https://github.com/SelinaFelton/SMA
https://github.com/SeonghwanSeo/RxnFlow
TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design
https://github.com/ShashSec/SMTI_SA
Towards a relation extraction framework for cyber-security concepts
https://github.com/Shuai-Xie/DEAL
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
https://github.com/SimiPixel/pool_based_active_learning
https://github.com/SimonWang00/psenet.tf2
Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/SmartEngines/stoppers_modelling
MIDV-2019: Challenges of the modern mobile-based document OCR
https://github.com/StanfordASL/SCOD
https://github.com/StatNLP/joeynmt
https://github.com/T-Almeida/tensorflow-keras-multidimensional-rnn
https://github.com/Tanmaiyee28/Python-Project-Street-View-text-detection
https://github.com/Valkyrja3607/VAAL_Segmantation
https://github.com/VirgiAgl/DAG-GP
https://github.com/WarBean/tps_stn_pytorch
https://github.com/WenmuZhou/DBNet.pytorch
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/WenmuZhou/PSENet.pytorch
Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/WenmuZhou/PytorchOCR
https://github.com/WenmuZhou/Segmentation-Free_OCR
https://github.com/WenmuZhou/crnn.pytorch
https://github.com/WorldHellow/mHallucinations-LLM
Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model
https://github.com/X-rayLaser/multi-directional-mdrnn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.