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:
Oct. 15, 2024

Filed:

Feb. 03, 2022
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

S Alireza Golestaneh, Pittsburgh, PA (US);

João D. Semedo, Pittsburgh, PA (US);

Filipe J. Cabrita Condessa, Pittsburgh, PA (US);

Wan-Yi Lin, Wexford, PA (US);

Stefan Gehrer, Pittsburgh, PA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/40 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 20/41 (2022.01); G06V 10/764 (2022.01); G06V 10/765 (2022.01);
Abstract

Performing semantic segmentation in an absence of labels for one or more semantic classes is provided. One or more weak predictors are utilized to obtain label proposals of novel classes for an original dataset for which at least a subset of sematic classes are unlabeled classes. The label proposals are merged with ground truth of the original dataset to generate a merged dataset, the ground truth defining labeled classes of portions of the original dataset. A machine learning model is trained using the merged dataset. The machine learning model is utilized for performing semantic segmentation on image data.


Find Patent Forward Citations

Golestaneh, S. (2024). Learning semantic segmentation models in the absence of a portion of class labels (U.S. Patent No. 12118788). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12118788

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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