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. 16, 2023

Filed:

Jun. 27, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Quanfu Fan, Somerville, MA (US);

Richard Chen, Mount Kisco, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06N 20/20 (2019.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 7/14 (2006.01); G06V 30/24 (2022.01); G06V 10/80 (2022.01); G06F 18/21 (2023.01); G06F 18/25 (2023.01); G06V 10/44 (2022.01); G06V 20/00 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 7/14 (2013.01); G06F 18/217 (2023.01); G06F 18/254 (2023.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 20/20 (2019.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); G06V 30/2504 (2022.01);
Abstract

Embodiments of the present invention are directed to a computer-implemented method for multiscale representation of input data. A non-limiting example of the computer-implemented method includes a processor receiving an original input. The processor downsamples the original input into a downscaled input. The processor runs a first convolutional neural network ('CNN') on the downscaled input. The processor runs a second CNN on the original input, where the second CNN has fewer layers than the first CNN. The processor merges the output of the first CNN with the output of the second CNN and provides a result following the merging of the outputs.


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