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:
Apr. 07, 2026

Filed:

Feb. 17, 2023
Applicant:

Altos Labs, Inc., Redwood City, CA (US);

Inventors:

Wilmer Arbelo-Gonzalez, Berkeley, CA (US);

Adam Scott Frost, San Francisco, CA (US);

Valentina Pedoia, San Francisco, CA (US);

Assignee:

Altos Labs, Inc., Redwood City, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 3/40 (2006.01); G06T 3/60 (2006.01); G06T 7/12 (2017.01); G06T 15/00 (2011.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 7/12 (2017.01); G06T 3/40 (2013.01); G06T 3/60 (2013.01); G06T 15/00 (2013.01); G06V 10/764 (2022.01); G06T 2207/20081 (2013.01);
Abstract

One embodiment of the present invention sets forth a technique for training a machine learning model to perform semantic segmentation. The technique includes iteratively extracting, from a set of 3D images, a first set of three-dimensional (3D) patches having a first patch size and a second set of 3D patches having a second patch size, where the second patch size is smaller than the first patch size. The technique also includes training the machine learning model using the first set of 3D patches and a first set of losses associated with the first set of 3D patches. The technique further includes training the machine learning model using the second set of 3D patches and a second set of losses associated with the second set of 3D patches.


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