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MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection

MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection

Ryuji Imamura
Kohei Azuma
Atsushi Hanamoto
Atsunori Kanemura
ArXiv (abs)PDFHTML

Papers citing "MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection"

3 / 3 papers shown
Title
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning
Yaohua Guo
Lijuan Song
Zirui Ma
46
0
0
15 Sep 2022
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao
Xinyi Gong
X. Zhang
Shaohua Yan
Chandranath Adak
UQCV
105
143
0
21 Jul 2022
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Sourya Dipta Das
Saikat Dutta
Nisarg A. Shah
Dwarikanath Mahapatra
Zongyuan Ge
MedIm
54
13
0
27 Jan 2022