22 citations · 68 across the 16 of their papers we have counts for
5 papers · 1 filter
GRIP: A Graph-Based Reasoning Instruction Producer
Jiankang Wang, Jianjun Xu, Xiaorui Wang +4
Large-scale, high-quality data is essential for advancing the reasoning capabilities of large language models (LLMs). As publicly available Internet data becomes increasingly scarc…
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing
Yadong Qu, Yuxin Wang, Bangbang Zhou +3
Existing scene text recognition (STR) methods struggle to recognize challenging texts, especially for artistic and severely distorted characters. The limitation lies in the insuffi…
Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling
Zixiao Wang, Hongtao Xie, YuXin Wang +3
Existing scene text removal (STR) task suffers from insufficient training data due to the expensive pixel-level labeling. In this paper, we aim to address this issue by introducing…
Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition
Zuan Gao, Yuxin Wang, Yadong Qu +4
In text recognition, self-supervised pre-training emerges as a good solution to reduce dependence on expansive annotated real data. Previous studies primarily focus on local visual…
Choose What You Need: Disentangled Representation Learning for Scene Text Recognition, Removal and Editing
Boqiang Zhang, Hongtao Xie, Zuan Gao +1
Scene text images contain not only style information (font, background) but also content information (character, texture). Different scene text tasks need different information, bu…