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. 06, 2026

Filed:

Aug. 11, 2023
Applicant:

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

Inventors:

Samuel Schulter, Long Island City, NY (US);

Vijay Kumar Baikampady Gopalkrishna, Santa Clara, CA (US);

Yumin Suh, Santa Clara, CA (US);

Shiyu Zhao, Piscataway, NJ (US);

Assignee:

NEC Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/584 (2022.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06V 10/82 (2022.01); G06V 2201/07 (2022.01);
Abstract

A computer-implemented method for training a neural network to predict object categories without manual annotation is provided. The method includes feeding training datasets including at least images and data annotations to an object detection neural network, converting, by a text prompter, the data annotations into natural text inputs, converting, by a text embedder, the natural text inputs into embeddings, minimizing objective functions during training to adjust parameters of the object detection neural network, and predicting, by the object detection neural network, objects within images and videos.


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