2 papers
cs.CV2026
Value-order Decomposition for Generalist Anomaly Detection
Miaoyun Zhao, Jing Chen, Miaoni Zhao +1
Industrial anomaly detection suffers from limited data, making cross-domain generalization particularly challenging. Generalist Anomaly Detection (GAD) aims to train a unified mode…
cs.LG2025
Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains
Anupam Panwar, Himadri Pal, Jiali Chen +4
Detecting anomalies in large, distributed systems presents several challenges. The first challenge arises from the sheer volume of data that needs to be processed. Flagging anomali…