You're currently viewing an old version of this dataset. To see the current version, click here.

Video Anomaly Detection by Estimating Likelihood of Representations

Video anomaly detection is a challenging task not only because it involves solving many sub-tasks such as motion representation, object localization and action recognition, but also because it is commonly considered as an unsupervised learning problem that involves detecting outliers.

Data and Resources

Cite this as

Yuqi Ouyang, Victor Sanchez (2024). Dataset: Video Anomaly Detection by Estimating Likelihood of Representations. https://doi.org/10.57702/8xp1pxaf

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2012.01468
Author Yuqi Ouyang
More Authors
Victor Sanchez