Cargando…
Weakly Supervised Video Anomaly Detection Based on 3D Convolution and LSTM
Weakly supervised video anomaly detection is a recent focus of computer vision research thanks to the availability of large-scale weakly supervised video datasets. However, most existing research works are limited to the frame-level classification with emphasis on finding the presence of specific ob...
Autores principales: | Ma, Zhen, Machado, José J. M., Tavares, João Manuel R. S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620488/ https://www.ncbi.nlm.nih.gov/pubmed/34833584 http://dx.doi.org/10.3390/s21227508 |
Ejemplares similares
-
CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection
por: Sharif, Md. Haidar, et al.
Publicado: (2023) -
Weakly Supervised Violence Detection in Surveillance Video
por: Choqueluque-Roman, David, et al.
Publicado: (2022) -
Automated screening of computed tomography using weakly supervised anomaly detection
por: Hibi, Atsuhiro, et al.
Publicado: (2023) -
Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy
por: Chen, Jiyun, et al.
Publicado: (2023) -
Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild
por: Sarker, Mohammad Ibrahim, et al.
Publicado: (2021)