The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 28, 2025

Filed:

Mar. 31, 2021
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Hualin Liu, Singapore, SG;

Chu Hong Hoi, Singapore, SG;

Junnan Li, Singapore, SG;

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/088 (2023.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/2155 (2023.01); G06F 18/22 (2023.01); G06N 3/088 (2013.01); G06V 10/751 (2022.01);
Abstract

Embodiments described herein provide systems and methods for learning representation from unlabeled videos. Specifically, a method may comprise generating a set of strongly-augmented samples and a set of weakly-augmented samples from the unlabeled video samples; generating a set of predictive logits by inputting the set of strongly-augmented samples into a student model and a first teacher model; generating a set of artificial labels by inputting the set of weakly-augmented samples to a second teacher model that operates in parallel to the first teacher model, wherein the second teacher model shares one or more model parameters with the first teacher model; computing a loss objective based on the set of predictive logits and the set of artificial labels; updating student model parameters based on the loss objective via backpropagation; and updating the shared parameters for the first teacher model and the second teacher model based on the updated student model parameters.


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