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. 10, 2026

Filed:

Aug. 30, 2022
Applicant:

Kabushiki Kaisha Toshiba, Tokyo, JP;

Inventors:

Keyur Ranipa, Bangalore, IN;

Jitender Maurya, Bangalore, IN;

Osamu Yamaguchi, Yokohama, JP;

Daisuke Kobayashi, Tachikawa, JP;

Tomoyuki Shibata, Kawasaki, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/60 (2022.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 20/60 (2022.01); G06V 10/70 (2022.01); G06V 20/70 (2022.01);
Abstract

According to one embodiment, a learning apparatus includes processing circuitry that generates a detection network for detecting an object from an image belonging to a target domain. The processing circuitry computes a detection task loss by supervised learning of the detection network. The processing circuitry computes a domain identification loss by adversarial learning of the detection network. The processing circuitry computes a self-learning loss by self-learning of the detection network. The processing circuitry computes a total loss based on weighted addition of the domain identification loss, the detection task loss and/or the self-learning loss. The processing circuitry updates learning parameters of the detection network by minimizing the total loss.


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