Anomaly Detection using Score-based Perturbation Resilience
Author:
Affiliation:
1. Korea Institute of Industrial Technology (KITECH),South Korea
2. Kyungpook National University (KNU),South Korea
Funder
Korea Institute of Industrial Technology
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376577.pdf?arnumber=10376577
Reference53 articles.
1. GANomaly: Semi-supervised Anomaly Detection via Adversarial Training
2. Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
3. Non-local manifold tangent learning;Bengio,2004
4. MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
5. Sub-image anomaly detection with deep pyramid correspondences;Cohen,2020
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