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AltUB: Alternating Training Method to Update Base Distribution of
  Normalizing Flow for Anomaly Detection

AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection

26 October 2022
Yeongmin Kim
Huiwon Jang
Dongkeon Lee
Ho-Jin Choi
ArXivPDFHTML

Papers citing "AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection"

5 / 5 papers shown
Title
Deep Industrial Image Anomaly Detection: A Survey
Deep Industrial Image Anomaly Detection: A Survey
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
22
172
0
27 Jan 2023
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly
  Segmentation
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
João P C Bertoldo
Santiago Velasco-Forero
Jesús Angulo
Etienne Decencière
13
0
0
23 Jan 2023
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Alexander Bauer
Shinichi Nakajima
Klaus-Robert Müller
13
9
0
23 Jun 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
73
208
0
06 Oct 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and
  Localization
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
P. Mishra
Riccardo Verk
Daniele Fornasier
C. Piciarelli
G. Foresti
ViT
78
286
0
20 Apr 2021
1