Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data

no code implementations • 12 Nov 2023 • Chenyang Bi, Yueyang Li, Haichi Luo

Unsupervised anomaly detection methods are at the forefront of industrial anomaly detection efforts and have made notable progress.

Unsupervised Anomaly Detection

CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection

no code implementations • 12 Nov 2023 • Shunfeng Wang, Yueyang Li, Haichi Luo, Chenyang Bi

While these unsupervised anomaly detection methods offer convenience, they also overlook the crucial prior information embedded within anomalous samples.

Contrastive Learning Self-Supervised Anomaly Detection +2