首页 | 本学科首页   官方微博 | 高级检索  
     


A3N: Attention-based adversarial autoencoder network for detecting anomalies in video sequence
Affiliation:1. Ningbo University, China;2. University of Toyama, Japan;1. State Key Laboratory of Intergrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shannxi 710071, PR China;2. State Key Laboratory of Intergrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, Shannxi 710071, PR China;3. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing 40 0 065, PR China;4. Chinese University of Hong Kong (Shenzhen), 518000, PR China;1. School of Computer Science and Technology, Shandong Jianzhu University, Fengming Road, Licheng District, Jinan City, Jinan 250101, China;2. School of Computer Science and Technology, Shandong University, No. 1500, Shunhua Road, Jinan High-tech Industrial Development Zone, Jinan 250101, China
Abstract:
Keywords:Anomaly detection  Attention mechanism  Adversarial autoencoder  Generative adversarial network
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号