https://github.com/manjitullal/DE-GAN
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Papers with Code 아카이브
Optical Character Recognition (OCR)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/marc-gorriz/CEAL-Medical-Image-Segmentation
https://github.com/markWJJ/Multitask-Learning
https://github.com/mayubo2333/mmlongbench-doc
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations
https://github.com/maziarraissi/TutorialGP
Inferring solutions of differential equations using noisy multi-fidelity data
https://github.com/meghshukla/MPII-Human-Pose-Visualization
Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?
https://github.com/megk96/contrastive_segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
https://github.com/meijieru/crnn.pytorch
https://github.com/melkherj/puddle
https://github.com/micka-charpak/ProjetAnalyse
https://github.com/microsoft/Icebreaker
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
https://github.com/microsoft/cameratraps
A deep active learning system for species identification and counting in camera trap images
https://github.com/microsoft/intrepid
https://github.com/mindee/doctr
https://github.com/mindspore-ai/models/tree/master/official/cv/essay-recogination
https://github.com/mindspore-ai/models/tree/master/official/cv/psenet
Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/mindspore-courses/heads-on-mindspore/tree/main/4-neural_poet_RNN
A Critical Review of Recurrent Neural Networks for Sequence Learning
https://github.com/mindspore-lab/mindocr
https://github.com/mineshmathew/pytorch_rnn_examples
https://github.com/minfanzhang/noisy-K-FAC_added_flipout
https://github.com/minhazkamal/arabic-handwritten-character-and-digit-recognition
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
https://github.com/minnesotanlp/dynamic-multi-reward-weighting
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
https://github.com/mleimeister/document-image-classification
Multimodal deep networks for text and image-based document classification
https://github.com/mmcdermott/chexpertplusplus
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
https://github.com/mohammadimathstar/grlgq
https://github.com/morl12345/dg-morl
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
https://github.com/mortezagolzan/Hand_Writing_Text_Extarction
HTR-VT: Handwritten Text Recognition with Vision Transformer
https://github.com/moto8xpk/DataExtractionJejuMLCamp
https://github.com/mrgiovanni/dissertation
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts
https://github.com/mrzaizai2k/Information-recognition-on-the-university-test-paper
https://github.com/msfasha/Arabic-Deep-Learning-OCR
https://github.com/msfasha/TextIimagesToolkit
https://github.com/munanning/madav2
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
https://github.com/namtuanly/MTL-TabNet
https://github.com/naveen-kumar-123/Handwritten-text-recognition---CNN-and-LSTM
https://github.com/neuropoly/axondeepseg
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.