Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images-Reference-Cited by-同舟云学术

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Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Samele Stefano¹,Matteucci Matteo¹

Affiliation:

1. Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milano,Italy,20133

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956215.pdf?arnumber=9956215

Reference39 articles.

1. Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows;rudolph,2020

2. Segmentation-Based Deep-Learning Approach for Surface-Defect Detection;tabernik;Journal of Intelligent Manufacturing,2019

3. Pytorch models;authors,0

4. SparseLandTools: A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications;herzog,2021

5. Efficientnet-pytorch;melas-kyriazi,0

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