PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection

1 code implementation • 18 Jan 2024 • Zhijie Zhong, Zhiwen Yu, Yiyuan Yang, Weizheng Wang, Kaixiang Yang

In this study, we introduce PatchAD, a novel multi-scale patch-based MLP-Mixer architecture that leverages contrastive learning for representational extraction and anomaly detection.

Anomaly Detection Contrastive Learning +2