no code implementations • 14 Sep 2022 • Yonglong Jiang, Liangliang Li, Yuan Xue, Hongbing Ma
Solving the problem of poor low-light image quality can effectively improve the visual quality of images and better improve the usability of computer vision.
no code implementations • 27 Nov 2021 • Zheng Yuan, Jie Zhang, Zhaoyan Jiang, Liangliang Li, Shiguang Shan
Instead of using the sign function, we propose to directly utilize the exact gradient direction with a scaling factor for generating adversarial perturbations, which improves the attack success rates of adversarial examples even with fewer perturbations.
1 code implementation • CVPR 2020 • Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu
To combine the distribution-level relations and instance-level relations for all examples, we construct a dual complete graph network which consists of a point graph and a distribution graph with each node standing for an example.
Ranked #2 on Few-Shot Learning on Mini-ImageNet - 1-Shot Learning