Invention Grant
- Patent Title: Document clusterization using neural networks
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Application No.: US17397440Application Date: 2021-08-09
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Publication No.: US11816909B2Publication Date: 2023-11-14
- Inventor: Ivan Zagaynov , Stanislav Semenov
- Applicant: ABBYY Development Inc.
- Applicant Address: US DE Dover
- Assignee: ABBYY Development Inc.
- Current Assignee: ABBYY Development Inc.
- Current Assignee Address: US NC Raleigh
- Agency: Lowenstein Sandler LLP
- Priority: RU 21123315 2021.08.04
- Main IPC: G06V30/40
- IPC: G06V30/40 ; G06N3/04 ; G06F18/23 ; G06F18/213 ; G06V30/18 ; G06V30/41

Abstract:
An example method of document classification comprises: detecting a set of keypoints in an input image; generating a set of keypoint vectors, wherein each keypoint vector of the set of keypoint vectors is associated with a corresponding keypoint of the set of keypoints; extracting a feature map from the input image; producing a combination of the set of keypoint vectors with the feature map; transforming the combination into a set of keypoint mapping vectors according to a predefined mapping scheme; estimating, based on the set of keypoint mapping vectors, a plurality of importance factors associated with the set of keypoints; and classifying the input image based on the set of keypoints and the plurality of importance factors.
Public/Granted literature
- US20230038097A1 DOCUMENT CLUSTERIZATION USING NEURAL NETWORKS Public/Granted day:2023-02-09
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