Optical Character Recognition (OCR)
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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/lukeforeveryoung/ureader
공식 코드https://github.com/luoxiaoheics/xal
공식 코드XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
https://github.com/luoyadan/crb-active-3ddet
공식 코드Exploring Active 3D Object Detection from a Generalization Perspective
https://github.com/lvapeab/nmt-keras
공식 코드Active Learning for Interactive Neural Machine Translation of Data Streams
https://github.com/lyn1874/region_based_active_learning
공식 코드On uncertainty estimation in active learning for image segmentation
https://github.com/lyumengyao/blad
공식 코드https://github.com/m0re4u/acal-subjective
공식 코드https://github.com/ma921/adabatal
공식 코드Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach
https://github.com/machine-discovery/research
공식 코드Reducing the Long Tail Losses in Scientific Emulations with Active Learning
https://github.com/madhavlab/2023_teles_wlc
공식 코드TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR
https://github.com/madoibito80/im2sem
공식 코드Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
https://github.com/mahmad00/Multiclass-AL-HSIC-using-ELM-SVM-KNN-LORSAL
공식 코드https://github.com/mahmad000/atl-sst
공식 코드Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image Classification
https://github.com/mahsabazzaz/level-completabilty-x-active-learning
공식 코드Active Learning for Classifying 2D Grid-Based Level Completability
https://github.com/majumderb/sanskrit-ocr
공식 코드Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
https://github.com/mak-sim/lst-2d
공식 코드Compact and Efficient Neural Networks for Image Recognition Based on Learned 2D Separable Transform
https://github.com/mak-ta-reque/edgeal
공식 코드EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation
https://github.com/makcedward/nlpaug
공식 코드Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks
https://github.com/mandal4/hangulnet
공식 코드Character decomposition to resolve class imbalance problem in Hangul OCR
https://github.com/manuelhaussmann/ral
공식 코드https://github.com/manueltonneau/twitter-unemployment
공식 코드Multilingual Detection of Personal Employment Status on Twitter
https://github.com/marcovirgolin/pyNSGP
공식 코드Model Learning with Personalized Interpretability Estimation (ML-PIE)
https://github.com/marjan-nourollahi/PALS
공식 코드Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition
https://github.com/markushaug/acr-25
공식 코드Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
https://github.com/martaandronic/polylut
공식 코드PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference
https://github.com/mashijie1028/activegcd
공식 코드https://github.com/matouk98/i-neural
공식 코드https://github.com/matsuo-shinnosuke/isoal
공식 코드Instance-wise Supervision-level Optimization in Active Learning
https://github.com/mauvilsa/imgtxtenh
공식 코드Continuous Offline Handwriting Recognition using Deep Learning Models
https://github.com/mberr/ea-active-learning
공식 코드https://github.com/mbzuai-oryx/arb
공식 코드https://github.com/mdmustafizurrahman/An-Information-Retrieval-Approach-to-Building-Datasets-for-Hate-Speech-Detection
공식 코드An Information Retrieval Approach to Building Datasets for Hate Speech Detection
https://github.com/mdoumbouya/codeocr
공식 코드https://github.com/medicl-vu/colossal
공식 코드COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
https://github.com/megagonlabs/tagruler
공식 코드TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.