9 citations · 19 across the 5 of their papers we have counts for
4 papers · 1 filter
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Chengwei Chen, Yuan Xie, Shaohui Lin +5
Novelty detection is the process of determining whether a query example differs from the learned training distribution. Previous methods attempt to learn the representation of the…
Spoof Face Detection Via Semi-Supervised Adversarial Training
Chengwei Chen, Wang Yuan, Xuequan Lu +1
Face spoofing causes severe security threats in face recognition systems. Previous anti-spoofing works focused on supervised techniques, typically with either binary or auxiliary s…
Novelty Detection via Non-Adversarial Generative Network
Chengwei Chen, Wang Yuan, Yuan Xie +4
One-class novelty detection is the process of determining if a query example differs from the training examples (the target class). Most of previous strategies attempt to learn the…
Anomaly Detection by One Class Latent Regularized Networks
Chengwei Chen, Pan Chen, Haichuan Song +4
Anomaly detection is a fundamental problem in computer vision area with many real-world applications. Given a wide range of images belonging to the normal class, emerging from some…