Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation

26 July 2021

Papers citing "Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation"

7 / 7 papers shown

Title
Knowledge Distillation of LLM for Automatic Scoring of Science Education Assessments Ehsan Latif Luyang Fang Ping Ma Xiaoming Zhai 16 4 0 26 Dec 2023
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition Xudong Xie Ling Fu Zhifei Zhang Zhaowen Wang X. Bai ViT 34 45 0 31 Jul 2022
Self-supervised Implicit Glyph Attention for Text Recognition Tongkun Guan Chaochen Gu Jingzheng Tu Xuehang Yang Qi Feng Yudi Zhao Xiaokang Yang Wei Shen 29 25 0 07 Mar 2022
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study Haiyang Yu Jingye Chen Bin Li Jianqi Ma Mengnan Guan Xixi Xu Xiaocong Wang Shaobo Qu Xiangyang Xue 19 55 0 30 Dec 2021
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition A. Bhunia Aneeshan Sain Amandeep Kumar S. Ghose Pinaki Nath Chowdhury Yi-Zhe Song 19 56 0 26 Jul 2021
Relation Distillation Networks for Video Object Detection Jiajun Deng Yingwei Pan Ting Yao Wen-gang Zhou Houqiang Li Tao Mei ObjD 106 191 0 26 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017