我是靠谱客的博主 碧蓝外套,这篇文章主要介绍异常检测的一些论文,现在分享给大家,希望可以做个参考。

异常检测

  1. Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes
    arxiv: http://arxiv.org/abs/1609.00866

  2. Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
    intro: Rochester Institute of Technology
    arxiv: https://arxiv.org/abs/1612.00390

  3. Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
    arxiv: https://arxiv.org/abs/1701.01546
    github: https://github.com/yshean/abnormal-spatiotemporal-ae

  4. Abnormal Event Detection in Videos using Generative Adversarial Nets
    intro: Best Paper / Student Paper Award Finalist, IEEE International Conference on Image Processing (ICIP), 2017
    arxiv: https://arxiv.org/abs/1708.09644

  5. Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
    intro: ICCV 2017
    arxiv: https://arxiv.org/abs/1709.09121

  6. An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
    intro: Uncanny Vision Solutions
    arxiv: https://arxiv.org/abs/1801.03149

  7. STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
    intro: ICASSP 2018
    arxiv: https://arxiv.org/abs/1804.08381

  8. Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
    https://arxiv.org/abs/1805.11223

最后

以上就是碧蓝外套最近收集整理的关于异常检测的一些论文的全部内容,更多相关异常检测内容请搜索靠谱客的其他文章。

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