S3AD: Efficient Industrial Anomaly Detection via Selection, Space, and Scale

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Zhonghua Peng, Chengyang Dong, Bo Liu, Zuoyong Li, Kun Zeng, Jiaqi Li
DOI: 10.2139/ssrn.6029576
Cited by: 0
References: 10

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Advanced Neural Network Applications Domain Adaptation and Few-Shot Learning

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Document type
Preprint