Invention Grant
- Patent Title: Detection and identification of objects in images
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Application No.: US16749263Application Date: 2020-01-22
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Publication No.: US11587216B2Publication Date: 2023-02-21
- Inventor: Ivan Zagaynov , Andrew Zharkov
- Applicant: ABBYY Development Inc.
- Applicant Address: DE Dover
- Assignee: ABBYY Development Inc.
- Current Assignee: ABBYY Development Inc.
- Current Assignee Address: DE Dover
- Agency: Lowenstein Sandler LLP
- Priority: RU2020102275 20200121
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06N3/04 ; G06T7/70 ; G06N3/08 ; G06N20/10 ; G06V10/764 ; G06V10/82 ; G06V20/00 ; G06T7/73 ; G06K9/62 ; G06V10/40 ; G06N20/20 ; G06N3/084

Abstract:
Aspects of the disclosure provide for mechanisms for identification of objects in images using neural networks. A method of the disclosure includes: obtaining an image, representing each element of a plurality of elements of the image via an input vector of a plurality of input vectors, each input vector having one or more parameters pertaining to visual appearance of a respective element of the image, providing the plurality of input vectors to a first subnetwork of a neural network to obtain a plurality of output vectors, wherein each of the plurality of output vectors is associated with an element of the image, identifying, based on the plurality of output vectors, a sub-plurality of elements of the image as belonging to the image of the object, and determining, based on locations of the sub-plurality of elements, a location of an image of an object within the image.
Public/Granted literature
- US20210224969A1 DETECTION AND IDENTIFICATION OF OBJECTS IN IMAGES Public/Granted day:2021-07-22
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