Invention Application
- Patent Title: NEURAL NETWORK LEARNING METHOD AND DEVICE FOR RECOGNIZING CLASS
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Application No.: US16645344Application Date: 2018-09-04
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Publication No.: US20200285938A1Publication Date: 2020-09-10
- Inventor: Jun-mo KIM , Byung-ju KIM , Joo-chang KIM , Ye-gang LEE , Min-seok PARK , Ju-seung YUN , Jae-young LEE , Dong-gyu JOO
- Applicant: SAMSUNG ELECTRONICS CO., LTD. , KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Suwon-si KR Daejeon
- Assignee: SAMSUNG ELECTRONICS CO., LTD.,KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.,KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Suwon-si KR Daejeon
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@163133d3
- International Application: PCT/KR2018/010271 WO 20180904
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06T7/136 ; G06K9/62

Abstract:
The present disclosure provides a neural network training device for recognizing a class of an object included in an image based on an artificial intelligence (AI) system and an application thereof, the neural network training method including: acquiring, by using a first learning network model trained based on source training images respectively included in at least one class, feature information of a query image included in a class different from the at least one class; obtaining a generated image from the feature information of the query image by using a second learning network model acquiring feature information of the obtained generated image by using the first learning network model; and updating weights of layers respectively included in the first and second learning network models, based on a difference between the feature information of the query image and the feature information of the generated image and on a difference between the query image and the generated image.
Public/Granted literature
- US11449733B2 Neural network learning method and device for recognizing class Public/Granted day:2022-09-20
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