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Anomaly Detection Method Based on Siamese Attention Representation Network

Aijun Yan Zijun Cheng

哈尔滨工业大学学报（英文版）2026，Vol.33Issue(2)：1-16,16.

哈尔滨工业大学学报（英文版）2026，Vol.33Issue(2)：1-16,16.DOI:10.11916/j.issn.1005-9113.25021

Anomaly Detection Method Based on Siamese Attention Representation Network

Aijun Yan ¹Zijun Cheng²

作者信息

1. School of Information Science and Technology,Beijing University of Technology,Beijing 100124,China||Engineering Research Center of Digital Community,Ministry of Education,Beijing 100124,China||Beijing Laboratory for Urban Mass Transit,Beijing 100124,China
2. School of Information Science and Technology,Beijing University of Technology,Beijing 100124,China||Engineering Research Center of Digital Community,Ministry of Education,Beijing 100124,China
折叠

摘要

关键词

anomaly detection/Siamese network/multi-head attention/representation learning/contrastive self-supervised learning/weakly supervised learning

Key words

anomaly detection/Siamese network/multi-head attention/representation learning/contrastive self-supervised learning/weakly supervised learning

分类

信息技术与安全科学

引用本文复制引用

Aijun Yan,Zijun Cheng..Anomaly Detection Method Based on Siamese Attention Representation Network[J].哈尔滨工业大学学报（英文版）,2026,33(2):1-16,16.

基金项目

Sponsored by National Natural Science Foundation of China(Grant Nos.62373017,62073006),Beijing Natural Science Foundation of China(Grant No.4212032) （Grant Nos.62373017,62073006）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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