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.
Patent No.:
Date of Patent:
Sep. 30, 2025
Filed:
Jul. 28, 2021
Magic Leap, Inc., Plantation, FL (US);
Siddharth Mahendran, Mountain View, CA (US);
Nitin Bansal, Sunnyvale, CA (US);
Nitesh Sekhar, Mountain View, CA (US);
Manushree Gangwar, San Francisco, CA (US);
Khushi Gupta, Mountain View, CA (US);
Prateek Singhal, Mountain View, CA (US);
Tarrence Van As, New York, NY (US);
Adithya Shricharan Srinivasa Rao, San Francisco, CA (US);
Magic Leap, Inc., Plantation, FL (US);
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an object recognition neural network using multiple data sources. One of the methods includes receiving training data that includes a plurality of training images from a first source and images from a second source. A set of training images are obtained from the training data. For each training image in the set of training images, contrast equalization is applied to the training image to generate a modified image. The modified image is processed using the neural network to generate an object recognition output for the modified image. A loss is determined based on errors between, for each training image in the set, the object recognition output for the modified image generated from the training image and ground-truth annotation for the training image. Parameters of the neural network are updated based on the determined loss.