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:
Jul. 06, 2021

Filed:

May. 20, 2019
Applicant:

Fudan University, Shanghai, CN;

Inventors:

Yugang Jiang, Shanghai, CN;

Yanwei Fu, Shanghai, CN;

Changmao Cheng, Shanghai, CN;

Xiangyang Xue, Shanghai, CN;

Assignee:

FUDAN UNIVERSITY, Shanghai, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/063 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00979 (2013.01); G06K 9/6217 (2013.01); G06K 9/6286 (2013.01); G06N 3/04 (2013.01);
Abstract

A network for image processing is provided, and more particularly, for coarse-to-fine recognition of image processing. The network includes a shared convolution layer, and a first subnet and a second subnet both subsequent to the shared convolution layer; the first subnet comprises a first skipping module comprising one or more skip-dense blocks iteratively stacked with one or more transition layers, a first pooling layer subsequent to the first skipping module, and a first classification layer subsequent to the first pooling layer; the second subnet comprises a second skipping module comprising one or more skip-dense blocks iteratively stacked with one or more layers, a second pooling layer subsequent to the second skipping module, and a second classification layer subsequent to the second pooling layer; and wherein a skip-dense block of the second subnet is selected to guide a transition layer of the first subnet, and the level of the guiding skip-dense block is deeper than the level of the guided transition layer. This network is also related to a system and a method thereof.


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