Coping with Change: Learning Invariant and Minimum Sufficient
Representations for Fine-Grained Visual Categorization

Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization

8 June 2023

Papers citing "Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization"

9 / 9 papers shown

Title
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising Yongli Xiang Ziming Hong Lina Yao Dadong Wang Tongliang Liu AAML 43 1 0 21 Mar 2025
Toward Realistic Camouflaged Object Detection: Benchmarks and Method Zhimeng Xin Tianxu Wu Shiming Chen Shuo Ye Zijing Xie Yixiong Zou Xinge You Yufei Guo 31 0 0 13 Jan 2025
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 21 3 0 15 Sep 2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning Jiayi Guo Chaofei Wang You Wu Eric Zhang Kai Wang Xingqian Xu S. Song Humphrey Shi Gao Huang DiffM VLM 69 28 0 06 Apr 2023
Filter Pruning based on Information Capacity and Independence Xiaolong Tang Shuo Ye Yufeng Shi Tianheng Hu Qinmu Peng Xinge You VLM 14 0 0 07 Mar 2023
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization H. Sun Xiangteng He Yuxin Peng ViT 21 77 0 31 Aug 2022
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge J. Belongie 66 279 0 11 Nov 2021
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition Xinda Liu Lili Wang Xiaoguang Han ViT 32 66 0 14 Jul 2021
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,316 0 28 May 2015