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:
Mar. 14, 2023

Filed:

May. 01, 2019
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Yi-Hsuan Tsai, San Jose, CA (US);

Samuel Schulter, Santa Clara, CA (US);

Kihyuk Sohn, Fremont, CA (US);

Manmohan Chandraker, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/628 (2013.01); G06K 9/6218 (2013.01); G06K 9/6235 (2013.01); G06N 3/08 (2013.01); G06K 2009/6237 (2013.01);
Abstract

Systems and methods for domain adaptation for structured output via disentangled representations are provided. The system receives a ground truth of a source domain. The ground truth is used in a task loss function for a first convolutional neural network that predicts at least one output based on inputs from the source domain and a target domain. The system clusters the ground truth of the source domain into a predetermined number of clusters, and predicts, via a second convolutional neural network, a structure of label patches. The structure includes an assignment of each of the at least one output of the first convolutional neural network to the predetermined number of clusters. A cluster loss is computed for the predicted structure of label patches, and an adversarial loss function is applied to the predicted structure of label patches to align the source domain and the target domain on a structural level.


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