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:
Dec. 05, 2017

Filed:

Sep. 06, 2016
Applicant:

Gopro, Inc., San Mateo, CA (US);

Inventor:

Tom Médioni, Paris, FR;

Assignee:

GoPro, Inc., San Mateo, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 1/00 (2006.01); G06K 9/46 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
G06T 7/2033 (2013.01); G06K 9/4671 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A three-dimensional convolutional neural network may include a preliminary layer group, one or more intermediate layer groups, a final layer group, and/or other layers/layer groups. The preliminary layer group may include an input layer, a preliminary three-dimensional padding layer, a preliminary three-dimensional convolution layer, a preliminary activation layer, a preliminary normalization layer, and a preliminary downsampling layer. One or more intermediate layer groups may include an intermediate three-dimensional squeeze layer, a first intermediate normalization layer, an intermediate three-dimensional padding layer, a first intermediate three-dimensional expand layer, a second intermediate three-dimensional expand layer, an intermediate concatenation layer, a second intermediate normalization layer, an intermediate activation layer, and an intermediate combination layer. The final layer group may include a final dropout layer, a final three-dimensional convolution layer, a final activation layer, a final normalization layer, a final three-dimensional downsampling layer, and a final flatten layer.


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