Invention Grant
- Patent Title: Computer vision image feature identification via multi-label few-shot model
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Application No.: US16698465Application Date: 2019-11-27
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Publication No.: US11308319B2Publication Date: 2022-04-19
- Inventor: Hui Peng Hu , Ramesh Sridharan
- Applicant: DST Technologies, Inc.
- Applicant Address: US MO Kansas City
- Assignee: DST Technologies, Inc.
- Current Assignee: DST Technologies, Inc.
- Current Assignee Address: US MO Kansas City
- Agency: Perkins Coie LLP
- Agent Colin Fowler; Brian Coleman
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F17/16 ; G06N3/04 ; G06N20/00 ; G06K9/62

Abstract:
A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
Public/Granted literature
- US20210142054A1 COMPUTER VISION IMAGE FEATURE IDENTIFICATION VIA MULTI-LABEL FEW-SHOT MODEL Public/Granted day:2021-05-13
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