Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook

10 May 2022

Papers citing "Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook"

8 / 8 papers shown

Title
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 58 0 0 06 Mar 2025
Networking Systems for Video Anomaly Detection: A Tutorial and Survey Jing Liu Yang Liu Jieyu Lin Jielin Li Peng Sun Bo Hu Liang Song Azzedine Boukerche Victor C.M. Leung Victor C.M. Leung 43 10 0 16 May 2024
Self-supervised Complex Network for Machine Sound Anomaly Detection Miseul Kim M. Ho Hong-Goo Kang 14 8 0 21 Dec 2023
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 30 44 0 23 May 2022
Deep Fraud Detection on Non-attributed Graph Chen Wang Yingtong Dou Min Chen Jia Chen Zhiwei Liu Philip S. Yu GNN 20 19 0 04 Oct 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 51 54 0 16 Jul 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation Jie Yang Yong Shi Zhiquan Qi UQCV 101 114 0 13 Dec 2020
Multi-task self-supervised learning for Robust Speech Recognition Mirco Ravanelli Jianyuan Zhong Santiago Pascual P. Swietojanski João Monteiro J. Trmal Yoshua Bengio SSL 171 288 0 25 Jan 2020