Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection-Reference-Cited by-同舟云学术

Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Rudolph Marco¹,Wehrbein Tom¹,Rosenhahn Bodo¹,Wandt Bastian²

Affiliation:

1. Leibniz University,Hannover,Germany

2. University of British Columbia,Canada

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706997.pdf?arnumber=9706997

Reference42 articles.

1. Probabilistic monocular 3d human pose estimation with normalizing flows;wehrbein;Proceedings of the IEEE International Conference on Computer Vision,2021

2. Efficientnet: Rethinking model scaling for convolutional neural networks;tan;International Conference on Machine Learning,2019

3. Normalizing flows for deep anomaly detection;ryzhikov,2019

4. Deep one-class classification;ruff;International Conference on Machine Learning,2018

5. Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

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