Search Results for author: Shuo Ye

Found 5 papers, 1 papers with code

Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions

no code implementations15 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).

Data Augmentation Fine-Grained Visual Categorization +1

CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization

no code implementations4 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).

Fine-Grained Visual Categorization

Filter Pruning based on Information Capacity and Independence

no code implementations7 Mar 2023 Xiaolong Tang, Shuo Ye, Yufeng Shi, Tianheng Hu, Qinmu Peng, Xinge You

For the amount of information contained in each filter, a new metric called information capacity is proposed.

R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction

no code implementations21 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.

Fine-Grained Visual Categorization

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