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Anomaly Detection in Videos Using Two-Stream Autoencoder with Post Hoc Interpretability
The growing interest in deep learning approaches to video surveillance raises concerns about the accuracy and efficiency of neural networks. However, fast and reliable detection of abnormal events is still a challenging work. Here, we introduce a two-stream approach that offers an autoencoder-based...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331293/ https://www.ncbi.nlm.nih.gov/pubmed/34354745 http://dx.doi.org/10.1155/2021/7367870 |