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Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
v1v2 (latest)

Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection

11 June 2021
Jinsung Yoon
Kihyuk Sohn
Chun-Liang Li
Sercan O. Arik
Chen-Yu Lee
Tomas Pfister
ArXiv (abs)PDFHTML

Papers citing "Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection"

3 / 3 papers shown
Title
Blind Localization and Clustering of Anomalies in Textures
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean
Tim Weyrich
91
3
0
18 Apr 2024
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon
Kihyuk Sohn
Chun-Liang Li
Sercan O. Arik
Tomas Pfister
58
8
0
30 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
131
51
0
09 Oct 2022
1