2 papers
cs.LG2026
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
Donghwan Kim, Hyunsoo Yoon
Out-of-distribution (OOD) detection is a critical component for ensuring the reliability of deep neural networks in safety-critical applications. In this work, we present a key emp…
cs.CV2025
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
Yejin Kwon, Daeun Moon, Youngje Oh +1
Anomaly Detection (AD) focuses on detecting samples that differ from the standard pattern, making it a vital tool in process control. Logical anomalies may appear visually normal y…