Patent ID: 11948358
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A method for training a neural network, comprising:
generating a plurality of image feature vectors corresponding to a plurality of frames of a video;
generating a plurality of low-level event representation vectors based on the plurality of image feature vectors, wherein a number of the low-level event representation vectors is less than a number of the image feature vectors;
generating a plurality of high-level event representation vectors based on the plurality of low-level event representation vectors, wherein a number of the high-level event representation vectors is less than the number of the low-level event representation vectors;
decoding the plurality of high-level event representation vectors to obtain a plurality of output feature vectors, wherein a number of the output feature vectors is greater than the number of the high-level event representation vectors;
computing an unsupervised learning loss based on the plurality of image feature vectors and the output feature vectors; and
updating parameters of a neural network based on the unsupervised learning loss.