E (3)Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.
Wang S, Zeng Y, Yu G, Cheng Z, Liu X, Zhou S, Zhu E, Kloft M, Yin J, Liao Q.
Wang S, et al.
IEEE Trans Pattern Anal Mach Intell. 2023 Mar;45(3):2952-2969. doi: 10.1109/TPAMI.2022.3188763. Epub 2023 Feb 3.
IEEE Trans Pattern Anal Mach Intell. 2023.
PMID: 35793301
Finally, in addition to the discriminative learning paradigm above, we also explore the solutions that exploit other learning paradigms (i.e., generative learning and contrastive learning) to introduce self-supervision for E (3)Outlier. ...Demo codes are available a …
Finally, in addition to the discriminative learning paradigm above, we also explore the solutions that exploit other learning paradigms (i. …