CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization

5 January 2023

Klaus H. Maier-Hein

Papers citing "CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization"

3 / 3 papers shown

Title
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations S. D. Almeida Carsten T. Lüth T. Norajitra Tassilo Wald Marco Nolden Paul F. Jaeger C. Heussel J. Biederer O. Weinheimer Klaus Maier-Hein 13 7 0 14 Jul 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 302 7,434 0 11 Nov 2021
Anomaly detection through latent space restoration using vector-quantized variational autoencoders Sergio Naval Marimont G. Tarroni DRL 120 57 0 12 Dec 2020