DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection-Reference-Cited by-同舟云学术

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zhang Xuan¹,Li Shiyu²,Li Xi²,Huang Ping²,Shan Jiulong²,Chen Ting¹

Affiliation:

1. Tsinghua University

2. Apple

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204165.pdf?arnumber=10204165

Reference38 articles.

1. CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

2. Un-supervised representation learning by predicting image rotations;gidaris;International Conference on Learning Representations,0

3. Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation

4. A simple unified framework for detecting out-of-distribution samples and adversarial attacks;lee;Advances in neural information processing systems,2018

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