Patch-Wise Augmentation for Anomaly Detection and Localization-Reference-Cited by-同舟云学术

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Patch-Wise Augmentation for Anomaly Detection and Localization

Published:2024-04-14 Issue: Volume:32 Page:5425-5429
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Fan Lei¹,Ding Yiwen²,Pagnucco Maurice¹,Song Yang¹

Affiliation:

1. UNSW Sydney,CSE

2. Gaozhe Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446994.pdf?arnumber=10446994

Reference31 articles.

1. GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains

2. Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection

3. MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

4. DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection

5. Self-Supervised Masking for Unsupervised Anomaly Detection and Localization

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