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Video anomaly detection algorithm combining mixed convolution and multi-scale attention
Object Detection | 更新时间：2024-08-16
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    • Video anomaly detection algorithm combining mixed convolution and multi-scale attention

    • “In the field of video anomaly detection, researchers have proposed an algorithm that combines mixed convolution and multi-scale attention, and introduced a structural similarity loss function optimization model. The experimental results show that the algorithm significantly improves the AUC index on the UCSD-Ped2 and CUHK Avenue datasets, verifying the effectiveness of the model.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 8, Pages: 1128-1137(2024)

    • DOI：10.37188/CJLCD.2023-0320    

      CLC： TP391.41

    • Received：10 October 2023，

      Revised：27 October 2023，

      Published：05 August 2024

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  • YANG Dawei, LIU Zhiquan, WANG Hongxia. Video anomaly detection algorithm combining mixed convolution and multi-scale attention[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1128-1137. DOI： 10.37188/CJLCD.2023-0320.

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YANG Da-wei
LIU Zhi-quan
WANG Hong-xia

Related Institution

School of Information Science and Engineering， Shenyang Ligong University
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