no code implementations • Winter Conference on Applications of Computer Vision 2021 • Tangqing Li, Zheng Wang, Siying Liu, Wen-Yan Lin
This paper proposes a novel method to detect anomalies in large datasets under a fully unsupervised setting.
Ranked #2 on Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly on Fashion-MNIST
Clustering Representation Learning +5