{"total":24,"rows":[{"id":"2109.10282","title":"TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models","created":"2021-09-21","cited_by_count":279,"area":null},{"id":"2104.07787","title":"Rethinking Text Line Recognition Models","created":"2021-04-15","cited_by_count":45,"area":null},{"id":"2111.02622","title":"Lexically Aware Semi-Supervised Learning for OCR Post-Correction","created":"2021-11-04","cited_by_count":12,"area":null},{"id":"2502.08417","title":"Handwritten Text Recognition: A Survey","created":"2025-02-12","cited_by_count":12,"area":null},{"id":"2110.04075","title":"KOHTD: Kazakh Offline Handwritten Text Dataset","created":"2021-09-22","cited_by_count":10,"area":null},{"id":"2411.17332","title":"On the Generalization of Handwritten Text Recognition Models","created":"2024-11-26","cited_by_count":10,"area":null},{"id":"2203.09638","title":"Unified Line and Paragraph Detection by Graph Convolutional Networks","created":"2022-03-17","cited_by_count":7,"area":null},{"id":"2202.07901","title":"Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition","created":"2022-02-16","cited_by_count":6,"area":null},{"id":"2205.14879","title":"Easter2.0: Improving convolutional models for handwritten text recognition","created":"2022-05-30","cited_by_count":6,"area":null},{"id":"2202.13274","title":"OCR Improves Machine Translation for Low-Resource Languages","created":"2022-02-27","cited_by_count":5,"area":null},{"id":"2306.06823","title":"Weakly supervised information extraction from inscrutable handwritten document images","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2112.08692","title":"Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription","created":"2021-12-16","cited_by_count":3,"area":null},{"id":"2308.15037","title":"Is it an i or an l: Test-time Adaptation of Text Line Recognition Models","created":"2023-08-29","cited_by_count":3,"area":null},{"id":"2106.14459","title":"Recurrent neural network transducer for Japanese and Chinese offline handwritten text recognition","created":"2021-06-28","cited_by_count":2,"area":null},{"id":"2108.11667","title":"StackMix and Blot Augmentations for Handwritten Text Recognition","created":"2021-08-26","cited_by_count":2,"area":null},{"id":"2310.07310","title":"Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy","created":"2023-10-11","cited_by_count":2,"area":null},{"id":"2108.05002","title":"A Transformer-based Math Language Model for Handwritten Math Expression Recognition","created":"2021-08-11","cited_by_count":1,"area":null},{"id":"2112.07395","title":"Handwritten text generation and strikethrough characters augmentation","created":"2021-12-14","cited_by_count":1,"area":null},{"id":"2201.00947","title":"HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network","created":"2022-01-04","cited_by_count":1,"area":null},{"id":"2101.06025","title":"Motion-Based Handwriting Recognition and Word Reconstruction","created":"2021-01-15","cited_by_count":0,"area":null},{"id":"2111.09560","title":"Adaptive Shrink-Mask for Text Detection","created":"2021-11-18","cited_by_count":0,"area":null},{"id":"2212.08834","title":"Towards Robust Handwritten Text Recognition with On-the-fly User Participation","created":"2022-12-17","cited_by_count":0,"area":null},{"id":"2304.08670","title":"An end-to-end, interactive Deep Learning based Annotation system for cursive and print English handwritten text","created":"2023-04-18","cited_by_count":0,"area":null},{"id":"2404.18260","title":"Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition","created":"2024-04-28","cited_by_count":0,"area":null}],"next_cursor":null}