Invention Grant
- Patent Title: Target detection method and device, neural network training method and device
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Application No.: US15814125Application Date: 2017-11-15
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Publication No.: US10671919B2Publication Date: 2020-06-02
- Inventor: Tete Xiao , Jiayuan Mao
- Applicant: BEIJING KUANGSHI TECHNOLOGY CO., LTD. , MEGVII (BEIJING) TECHNOLOGY CO., LTD.
- Applicant Address: CN Beijing CN Beijing
- Assignee: BEIJING KUANGSHI TECHNOLOGY CO., LTD.,MEGVII (BEIJING) TECHNOLOGY CO., LTD.
- Current Assignee: BEIJING KUANGSHI TECHNOLOGY CO., LTD.,MEGVII (BEIJING) TECHNOLOGY CO., LTD.
- Current Assignee Address: CN Beijing CN Beijing
- Agency: Hamre, Schumann, Mueller & Larson, P.C.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@414b1974
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06K9/32 ; G06K9/46 ; G06N3/04 ; G06K9/00

Abstract:
This application provides a target detection method and device based on a neural network and training method and device of a neural network for target detection. The target detection method comprises: acquiring a to-be-detected image that contains a target; acquiring first feature information of the to-be-detected image by use of a first neural network, acquiring second feature information of the to-be-detected image by use of a second neural network; combining the first feature information and the second feature information to acquire combined feature information; and acquiring a target detection result by use of the second neural network and based on the combined feature information, wherein the number of layers of the second neural network is larger than the number of layers of the first neural network, the first feature information is heatmap feature information, and the second feature information is picture feature information.
Public/Granted literature
- US20180174046A1 TARGET DETECTION METHOD AND DEVICE, NEURAL NETWORK TRAINING METHOD AND DEVICE Public/Granted day:2018-06-21
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