4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 4 cited
BatchNorm-based Weakly Supervised Video Anomaly Detection
Yixuan Zhou, Yi Qu, Xing Xu +3
In weakly supervised video anomaly detection (WVAD), where only video-level labels indicating the presence or absence of abnormal events are available, the primary challenge arises…
cs.CV2023★ 1 cited
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
Yixuan Zhou, Yi Qu, Xing Xu +1
Class imbalance is a common challenge in real-world recognition tasks, where the majority of classes have few samples, also known as tail classes. We address this challenge with th…
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…