1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
Yixuan Zhou, Xing Xu, Zhe Sun +3
Normalizing flows, a category of probabilistic models famed for their capabilities in modeling complex data distributions, have exhibited remarkable efficacy in unsupervised anomal…
cs.LG2023
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies
Yixuan Zhou, Peiyu Yang, Yi Qu +3
Semi-supervised anomaly detection (SSAD) methods have demonstrated their effectiveness in enhancing unsupervised anomaly detection (UAD) by leveraging few-shot but instructive abno…