no code implementations • 15 Sep 2023 • Tianxu Wu, Shuo Ye, Shuhuang Chen, Qinmu Peng, Xinge You
To address this issue, we propose a novel approach termed the detail reinforcement diffusion model~(DRDM), which leverages the rich knowledge of large models for fine-grained data augmentation and comprises two key components including discriminative semantic recombination (DSR) and spatial knowledge reference~(SKR).
1 code implementation • 8 Jun 2023 • Shuo Ye, Shujian Yu, Wenjin Hou, Yu Wang, Xinge You
Fine-grained visual categorization (FGVC) is a challenging task due to similar visual appearances between various species.
no code implementations • 4 Jun 2023 • Shuo Ye, Yufeng Shi, Ruxin Wang, Yu Wang, Jiamiao Xu, Chuanwu Yang, Xinge You
Data is the foundation for the development of computer vision, and the establishment of datasets plays an important role in advancing the techniques of fine-grained visual categorization~(FGVC).
no code implementations • 21 Apr 2022 • Yu Wang, Shuo Ye, Shujian Yu, Xinge You
In this paper, we present a novel approach for FGVC, which can simultaneously make use of partial yet sufficient discriminative information in environmental cues and also compress the redundant information in class-token with respect to the target.