Haoyang He

Learning Multi-view Anomaly Detection with Efficient Adaptive Selection

2024 · arXiv (Cornell University)

This study explores the recently proposed and challenging multi-view Anomaly Detection (AD) task. Single-view tasks will encounter blind spots from other perspectives, resulting in inaccuracies in sample-level prediction. Therefore, we introduce the Multi-View Anomaly Detection …