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公开(公告)号:US20210390468A1
公开(公告)日:2021-12-16
申请号:US17126826
申请日:2020-12-18
Inventor: Zhuang JIA , Hanchenxi XU , Haocheng LIU , Yuan LI , Lingpeng FANG
Abstract: A method and apparatus for processing risk-management feature factors based on user generated content (UGC), an electronic device and a storage medium are disclosed, which relates to the fields of artificial intelligence and cloud computing. An implementation includes generating a feature expression of the UGC based on the UGC; and extracting the risk-management feature factors of the UGC according to a pre-generated risk-management-feature-factor extracting model and the feature expression of the UGC. According to the technology of the present application, the risk-management feature factors of a corresponding user may be extracted based on the UGC without depending on privacy information of the user, such as personal basic attributes, or the like, such that subsequent related processing actions of risk management may be facilitated, an acquiring way and an acquiring mode of the risk-management feature factors may be enriched effectively, and richer information of the risk-management feature factors may be acquired.
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2.
公开(公告)号:US20220020175A1
公开(公告)日:2022-01-20
申请号:US17489991
申请日:2021-09-30
Inventor: Xiaodi WANG , Shumin HAN , Yuan FENG , Ying XIN , Bin ZHANG , Xiang LONG , Honghui ZHENG , Yan PENG , Zhuang JIA
Abstract: An object detection model training method, object detection method and related apparatus, relate to the field of artificial intelligence technologies such as computer vision, deep learning. An implementation includes: obtaining training sample data including a first remote sensing image and position annotation information of an anchor box of a subject to be detected in the first remote sensing image, where the position annotation information includes angle information of the anchor box relative to a preset direction; obtaining an object feature map of the first remote sensing image based on an object detection model, performing object detection on the subject to be detected based on the object feature map to obtain an object bounding box, and determining loss information between the anchor box and the object bounding box based on the angle information; updating a parameter of the object detection model based on the loss information.
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