https://github.com/0x454447415244/HandwritingRecognitionSystem
공식 코드Handwriting Recognition of Historical Documents with few labeled data
Papers with Code 아카이브
Handwriting Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FactoDeepLearning/SPAN
공식 코드SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition
https://github.com/IntuitionMachines/OrigamiNet
공식 코드https://github.com/MarkPotanin/DigitalPeter
공식 코드Digital Peter: Dataset, Competition and Handwriting Recognition Methods
https://github.com/NarayanSchuetz/SpectralLayersPyTorch
공식 코드Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
https://github.com/PhilipCorr/numeral-gesture-dataset
공식 코드Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens
https://github.com/QuwsarOhi/BanglaWriting
공식 코드BanglaWriting: A multi-purpose offline Bangla handwriting dataset
https://github.com/RebinMA/KHCR
공식 코드Kurdish Handwritten Character Recognition using Deep Learning Techniques
https://github.com/RussellXie7/motion-based-handwriting-recognition
공식 코드https://github.com/abdoelsayed2016/HKR_Dataset
공식 코드https://github.com/abdoelsayed2016/KOHTD
공식 코드https://github.com/ajgates42/clusim
공식 코드https://github.com/apurba-nsu-rnd-lab/lila-boti
공식 코드https://github.com/cipri-tom/type-aware-crnn
공식 코드Field typing for improved recognition on heterogeneous handwritten forms
https://github.com/crusnic-corp/BN-DRISHTI
공식 코드https://github.com/dali92002/htrbymatching
공식 코드https://github.com/dcgm/softctc
공식 코드SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels
https://github.com/deep-scribe/handwriting-recognition
공식 코드Motion-Based Handwriting Recognition and Word Reconstruction
https://github.com/dmitrijsk/attentionhtr
공식 코드AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks
https://github.com/drivergo-93589/deepfrc
공식 코드DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
https://github.com/facebookresearch/gtn_applications/blob/main/criterions/stc.py
공식 코드Star Temporal Classification: Sequence Classification with Partially Labeled Data
https://github.com/factodeeplearning/dan
공식 코드https://github.com/hieunghia-pat/uit-hwdb-dataset
공식 코드https://github.com/jungomi/character-queries
공식 코드Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
https://github.com/koraykarabina/impacx_onhw
공식 코드Improving Accuracy and Explainability of Online Handwriting Recognition
https://github.com/lioujheyu/cuda_evolve
공식 코드https://github.com/mauvilsa/imgtxtenh
공식 코드Continuous Offline Handwriting Recognition using Deep Learning Models
https://github.com/prijatelj/handwriting_recognition_with_novelty
공식 코드https://github.com/shaoncsecu/BN-HTR_LS
공식 코드https://github.com/shichenqiao/ece554_sp23_fpga_handwriting_recognition
공식 코드FPGA Implementation of Convolutional Neural Network for Real-Time Handwriting Recognition
https://github.com/shulk97/daniel
공식 코드https://github.com/theroyakash/AKHCRNet
공식 코드AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning
https://github.com/tobiasvanderwerff/master-thesis
공식 코드Writer adaptation for offline text recognition: An exploration of neural network-based methods
https://github.com/1ytic/warp-rnnt
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/LSTM
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/essay-recogination
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.