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:
Nov. 24, 2020

Filed:

Sep. 06, 2018
Applicant:

A9.com, Inc., Palo Alto, CA (US);

Inventors:

Hao-Yu Wu, Palo Alto, CA (US);

Tian Cao, Santa Clara, CA (US);

Bhargava Urala Kota, Buffalo, NY (US);

Mehmet Nejat Tek, Palo Alto, CA (US);

Assignee:

A9.com, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01); G06F 16/583 (2019.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/3241 (2013.01); G06F 16/583 (2019.01); G06N 5/046 (2013.01); G06K 2209/25 (2013.01);
Abstract

Large scale instance recognition is provided that can take advantage of channel-wise pooling. A received query image is processed to extract a set of features that can be used to generate a set of region proposals. The proposed regions of image data are processed using a trained classifier to classify the regions as object or non-object regions. Extracted features for the object regions are processed using feature correlation against extracted features for a set of object images, each representing a classified object. Matching tensors generated from the comparison are processed using a spatial verification network to determine match scores for the various object images with respect to a specific object region. The match scores are used to determine which objects, or types of objects, are represented in the query image. Information or content associated with the matching objects can be provided as part of a response.


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