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:
Aug. 10, 2021

Filed:

Sep. 24, 2019
Applicant:

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

Inventors:

Renqiang Min, Princeton, NJ (US);

Kai Li, Somerville, MA (US);

Bing Bai, Princeton Junction, NJ (US);

Hans Peter Graf, South Amboy, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/628 (2013.01); G06K 9/46 (2013.01); G06K 9/6257 (2013.01); G06K 9/6262 (2013.01); G06N 3/08 (2013.01);
Abstract

A computer-implemented method and system are provided for training a model for New Class Categorization (NCC) of a test image. The method includes decoupling, by a hardware processor, a feature extraction part from a classifier part of a deep classification model by reparametrizing learnable weight variables of the classifier part as a combination of learnable variables of the feature extraction part and of a classification weight generator of the classifier part. The method further includes training, by the hardware processor, the deep classification model to obtain a trained deep classification model by (i) learning the feature extraction part as a multiclass classification task, and (ii) episodically training the classifier part by learning a classification weight generator which outputs classification weights given a training image.


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