67 citations · 116 across the 10 of their papers we have counts for
4 papers · 1 filter
Efficient Generalization Improvement Guided by Random Weight Perturbation
Tao Li, Weihao Yan, Zehao Lei +4
To fully uncover the great potential of deep neural networks (DNNs), various learning algorithms have been developed to improve the model's generalization ability. Recently, sharpn…
FG-UAP: Feature-Gathering Universal Adversarial Perturbation
Zhixing Ye, Xinwen Cheng, Xiaolin Huang
Deep Neural Networks (DNNs) are susceptible to elaborately designed perturbations, whether such perturbations are dependent or independent of images. The latter one, called Univers…
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching
Fanghui Liu, Chen Gong, Xiaolin Huang +3
In this paper, we propose a novel matching based tracker by investigating the relationship between template matching and the recent popular correlation filter based trackers (CFTs)…
Scale-Space Anisotropic Total Variation for Limited Angle Tomography
Yixing Huang, Oliver Taubmann, Xiaolin Huang +3
This paper addresses streak reduction in limited angle tomography. Although the iterative reweighted total variation (wTV) algorithm reduces small streaks well, it is rather inept…