1 code implementation • ECCV 2022 • Yaguan Qian, Shenghui Huang, Bin Wang, Xiang Ling, Xiaohui Guan, Zhaoquan Gu, Shaoning Zeng, WuJie Zhou, Haijiang Wang
This process is modeled as a multi-objective bilevel optimization problem and a novel algorithm is proposed to solve this optimization.
no code implementations • 1 Feb 2021 • Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shouling Ji, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh
Adversarial training is wildly considered as one of the most effective way to defend against adversarial examples.
no code implementations • 2 Dec 2020 • Yaguan Qian, Jiamin Wang, Bin Wang, Shaoning Zeng, Zhaoquan Gu, Shouling Ji, Wassim Swaileh
With this soft mask, we develop a new loss function with inverse temperature to search for optimal perturbations in CFR.
1 code implementation • 14 May 2020 • Shaoning Zeng, Bob Zhang
In the generator of typical Generative Adversarial Networks (GANs), a noise is inputted to generate fake samples via a series of convolutional operations.
1 code implementation • 26 Sep 2019 • Jianhang Zhou, Shaoning Zeng, Bob Zhang
The samples of the candidate classes are utilized to learn a student classifier based on L2-minimization in the second stage.
1 code implementation • 21 Feb 2018 • Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou
We propose a deep collaborative weight-based classification (DeepCWC) method to resolve this problem, by providing a novel option to fully take advantage of deep features in classic machine learning.