280 citations · 1.3k across the 76 of their papers we have counts for
13 papers · 1 filter
Appending Adversarial Frames for Universal Video Attack
Zhikai Chen, Lingxi Xie, Shanmin Pang +2
There have been many efforts in attacking image classification models with adversarial perturbations, but the same topic on video classification has not yet been thoroughly studied…
Scalable NAS with Factorizable Architectural Parameters
Lanfei Wang, Lingxi Xie, Tianyi Zhang +2
Neural Architecture Search (NAS) is an emerging topic in machine learning and computer vision. The fundamental ideology of NAS is using an automatic mechanism to replace manual des…
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters
Kaifeng Bi, Changping Hu, Lingxi Xie +3
DARTS is a popular algorithm for neural architecture search (NAS). Despite its great advantage in search efficiency, DARTS often suffers weak stability, which reflects in the large…
Pruning from Scratch
Yulong Wang, Xiaolu Zhang, Lingxi Xie +4
Network pruning is an important research field aiming at reducing computational costs of neural networks. Conventional approaches follow a fixed paradigm which first trains a large…
Single Camera Training for Person Re-identification
Tianyu Zhang, Lingxi Xie, Longhui Wei +3
Person re-identification (ReID) aims at finding the same person in different cameras. Training such systems usually requires a large amount of cross-camera pedestrians to be annota…
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data
Zhuoxun He, Lingxi Xie, Xin Chen +3
Data augmentation has been widely applied as an effective methodology to improve generalization in particular when training deep neural networks. Recently, researchers proposed a f…