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. 09, 2024

Filed:

Mar. 29, 2021
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Vitor Guizilini, Santa Clara, CA (US);

Adrien David Gaidon, Mountain View, CA (US);

Jie Li, Los Altos, CA (US);

Rares A. Ambrus, San Francisco, CA (US);

Assignee:

Toyota Research Institute, Inc., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06T 9/00 (2006.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01); G06T 7/73 (2017.01); G06T 7/50 (2017.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2178 (2023.01); G06F 18/2148 (2023.01); G06T 7/50 (2017.01); G06T 7/74 (2017.01); G06T 9/002 (2013.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems, methods, and other embodiments described herein relate to training a multi-task network using real and virtual data. In one embodiment, a method includes acquiring training data that includes real data and virtual data for training a multi-task network that performs at least depth prediction and semantic segmentation. The method includes generating a first output from the multi-task network using the real data and second output from the multi-task network using the virtual data. The method includes generating a mixed loss by analyzing the first output to produce a real loss and the second output to produce a virtual loss. The method includes updating the multi-task network using the mixed loss.


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