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An explainable and efficient deep learning framework for video anomaly detection
Deep learning-based video anomaly detection methods have drawn significant attention in the past few years due to their superior performance. However, almost all the leading methods for video anomaly detection rely on large-scale training datasets with long training times. As a result, many real-wor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609273/ https://www.ncbi.nlm.nih.gov/pubmed/34840519 http://dx.doi.org/10.1007/s10586-021-03439-5 |