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Handwriting Recognition
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Creating a Historical Migration Dataset from Finnish Church Records, 1800-1920
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
Making History Readable
Learning based Ge'ez character handwritten recognition
Handwriting Recognition in Historical Documents with Multimodal LLM
MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions
Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling
Multichannel Attention Networks with Ensembled Transfer Learning to Recognize Bangla Handwritten Charecter
A First Look at Chebyshev-Sobolev Series for Digital Ink
Qalam : A Multimodal LLM for Arabic Optical Character and Handwriting Recognition
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents
Khayyam Offline Persian Handwriting Dataset
Graph Neural Network based Handwritten Trajectories Recognition
Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition
An inclusive review on deep learning techniques and their scope in handwriting recognition
Representing Online Handwriting for Recognition in Large Vision-Language Models
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
Impact of Ground Truth Quality on Handwriting Recognition
Offline Detection of Misspelled Handwritten Words by Convolving Recognition Model Features with Text Labels
Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
A Transformer-based Approach for Arabic Offline Handwritten Text Recognition
Does color modalities affect handwriting recognition? An empirical study on Persian handwritings using convolutional neural networks
Writer adaptation for offline text recognition: An exploration of neural network-based methods
A Dataset of Inertial Measurement Units for Handwritten English Alphabets
CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset
FPGA Implementation of Convolutional Neural Network for Real-Time Handwriting Recognition
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images
CENSUS-HWR: a large training dataset for offline handwriting recognition
Online Gesture Recognition using Transformer and Natural Language Processing
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning
Key-value information extraction from full handwritten pages
SIMARA: a database for key-value information extraction from full pages
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition
Finetuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
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