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:
Sep. 03, 2024

Filed:

Mar. 08, 2022
Applicant:

Acronis International Gmbh, Schaffhausen, CH;

Inventors:

Sergey Ulasen, Moscow, RU;

Vasyl Shandyba, Dnipro, UA;

Alexander Snorkin, Moscow, RU;

Artem Shapiro, Dnipro, UA;

Andrey Adaschik, Moscow, RU;

Serguei Beloussov, Costa del Sol, SG;

Stanislav Protasov, Moscow, RU;

Assignee:

Acronis International GmbH, Schaffhausen, CH;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 20/42 (2022.01);
Abstract

Disclosed herein are systems and method for detecting small objects in an image using a neural network (NN). An exemplary method may include: receiving a first NN that is trained on a dataset including a plurality of images depicting various objects; identifying a first structure of the first NN, the first structure indicative of each layer and layer size in the first NN; determining, based on the first structure, whether the first NN can classify an object less than a threshold size in an input image; in response to determining that the first NN cannot classify the object, identifying a subset of detection layers in the first NN; generating and training a second NN that has a second structure in which the subset of detection layers are replaced by at least one layer not in the subset; and receiving, from the second NN, a classification of the object.


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