Self-supervised Character-to-Character Distillation for Text Recognition

v1v2v3v4 (latest)

Self-supervised Character-to-Character Distillation for Text Recognition

1 November 2022

ArXiv (abs)PDF HTML Github (150★)

Papers citing "Self-supervised Character-to-Character Distillation for Text Recognition"

8 / 8 papers shown

Title
Joint Low-level and High-level Textual Representation Learning with Multiple Masking Strategies Zhengmi Tang Yuto Mitsui Tomo Miyazaki S. Omachi 96 0 0 11 May 2025
A Token-level Text Image Foundation Model for Document Understanding Tongkun Guan Zining Wang Pei Fu Zhengtao Guo Wei Shen ... Chen Duan Hao Sun Qianyi Jiang Junfeng Luo Xiaokang Yang VLM 188 2 0 04 Mar 2025
Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification Xiaowei Jiang Wenhao Ma Yiqun Duan T. Do Chin-Teng Lin 190 0 0 21 Jan 2025
Instruction-Guided Scene Text Recognition Yongkun Du Z. Chen Yuchen Su Caiyan Jia Yu-Gang Jiang 220 3 0 03 Jan 2025
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Yongkun Du Z. Chen Hongtao Xie Caiyan Jia Yu-Gang Jiang 164 1 0 24 Nov 2024
Self-Supervised Learning for Text Recognition: A Critical Survey Carlos Peñarrubia J. J. Valero-Mas Jorge Calvo-Zaragoza 185 2 0 29 Jul 2024
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer Tongkun Guan Chengyu Lin Wei Shen Xiaokang Yang 98 6 0 10 Jul 2024
Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach Ziyin Zhang Ning Lu Minghui Liao Yongshuai Huang Cheng Li Min Wang Wei Peng 107 12 0 17 Aug 2023