2 papers
eess.IV2025
A Synergy Scoring Filter for Unsupervised Anomaly Detection with Noisy Data
Chengming Liu, Fengjie Wang, Lei Shi +1
Noise-inclusive fully unsupervised anomaly detection (FUAD) holds significant practical relevance. Although various methods exist to address this problem, they are limited in both…
cs.CV2025
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection
Fengjie Wang, Chengming Liu, Lei Shi +1
Previous industrial anomaly detection methods often struggle to handle the extensive diversity in training sets, particularly when they contain stylistically diverse and feature-ri…