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:
May. 31, 2022

Filed:

Jul. 15, 2020
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventor:

Zequn Jie, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06K 9/627 (2013.01); G06K 9/6232 (2013.01); G06K 9/6263 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Embodiments of this application disclose a method for training an image semantic segmentation model performed at a server, to locate all object regions in a raw image, thereby improving the segmentation quality of image semantic segmentation. The method includes: obtaining a raw image used for model training; performing a full-image classification annotation on the raw image at different dilation magnifications by applying a multi-magnification dilated convolutional neural network model to the raw image, and obtaining global object location maps in the raw image at different degrees of dispersion corresponding to the different dilation magnifications, wherein a degree of dispersion is used for indicating a distribution of a target object on an object region positioned by the multi-magnification dilated convolutional neural network model at a dilation magnification corresponding to the degree of dispersion; and training an image semantic segmentation network model using the global object location maps as supervision information.


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