Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval

Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval

23 October 2023

Zheng-Wei Zhang

Lin Wu

Papers citing "Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval"

6 / 6 papers shown

Title
Sign-Symmetry Learning Rules are Robust Fine-Tuners Aymene Berriche Mehdi Zakaria Adjal Riyadh Baghdadi AAML 42 0 0 09 Feb 2025
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 17 1 0 26 Sep 2024
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching Khoa D. Doan Peng Yang Ping Li MQ 10 37 0 31 May 2022
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective Jiun Tian Hoe KamWoh Ng Tianyu Zhang Chee Seng Chan Yi-Zhe Song Tao Xiang MQ 22 109 0 29 Sep 2021
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 43 259 0 30 Nov 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016