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.
Patent No.:
Date of Patent:
Sep. 03, 2024
Filed:
Jun. 12, 2020
Applicant:
Carnegie Mellon University, Pittsburgh, PA (US);
Inventors:
John Galeotti, Pittsburgh, PA (US);
Tejas Sudharshan Mathai, Seattle, WA (US);
Assignee:
Carnegie Mellon University, Pittsburgh, PA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 3/045 (2023.01); G06N 3/082 (2023.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 3/045 (2023.01); G06N 3/082 (2013.01); G06T 7/11 (2017.01); G06T 2207/10101 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01);
Abstract
Provided is a system, method, and computer program product for creating a deep-learning model for processing image data. The method includes establishing dense connections between each layer of a plurality of layers of a convolutional neural network (CNN) and a plurality of preceding layers of the CNN, downsampling an input of each downsampling layer of a plurality of downsampling layers in a first branch of the CNN, and upsampling an input of each upsampling layer of a plurality of upsampling layers in a second branch of the CNN by convolving the input.