Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

Author:

Sohn Kihyuk1,Yoon Jinsung1,Li Chun-Liang1,Lee Chen-Yu1,Pfister Tomas1

Affiliation:

1. Google Cloud AI Research

Publisher

IEEE

Reference70 articles.

1. Csi: Novelty detection via contrastive learning on distributionally shifted instances;tack;Advances in neural information processing systems,2020

2. Padim: a patch distribution modeling framework for anomaly detection and localization;defard;ICPR 2020-25th International Conference on Pattern Recognition Workshops and Challenges,2021

3. Learning and evaluating representations for deep one-class classification;sohn;International Conference on Learning Representations,2021

4. Visual categorization´ with bags of keypoints;csurka;Workshop on Statistical Learning in Computer Vision ECCV,2004

5. Support Vector Data Description

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