DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection-Reference-Cited by-同舟云学术

DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Zavrtanik Vitjan¹,Kristan Matej¹,Skocaj Danijel¹

Affiliation:

1. University of Ljubljana,Faculty of Computer and Information Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710329.pdf?arnumber=9710329

Reference32 articles.

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4. Randaugment: Practical automated data augmentation with a reduced search space

5. Padim: a patch distribution modeling framework for anomaly detection and localization;defard;1st International Workshop on Industrial Machine Learning ICPR 2020,2020

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