UNSUPERVISED DEEP ANOMALY DETECTION AND ITS APPLICATION

UNSUPERVISED DEEP ANOMALY DETECTION AND ITS APPLICATION

Ph.D

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Bibliographic Details
Main Author:	HUANG CHAOQIN
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2024
Subjects:	anomaly detection, deep learning, self-supervised learning, visual-language modeling, generalization
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/249474
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

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