NVIDIA Corporation
NEURAL ARCHITECTURE FOR SELF SUPERVISED EVENT LEARNING AND ANOMALY DETECTION
Last updated:
Abstract:
Systems and methods that use at least one neural network to infer content of individual frames in a sequence of images and to further infer changes to content in sequence of images over time to determine whether one or more anomalous events are present in sequence of images is described herein.
Status:
Application
Type:
Utility
Filling date:
26 Jun 2019
Issue date:
31 Dec 2020