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1.
公开(公告)号:US20230195839A1
公开(公告)日:2023-06-22
申请号:US17555723
申请日:2021-12-20
Inventor: Binghong WU , Yehui YANG , DaLU YANG , Yanwu XU , Lei WANG , Qian LI
IPC: G06K9/62
CPC classification number: G06K9/6257 , G06K9/6232 , G06K9/6201
Abstract: Technical solutions relate to the field of artificial intelligence such as deep learning, computer vision and intelligent imaging. A method may includes during training of a one-stage object detecting model, acquiring values of a loss function corresponding to feature maps at different scales respectively in the case that classification loss calculation is required, and the loss function is a focal loss function; and determining a final value of the loss function according to the acquired values of the loss function, and training the one-stage object detecting model according to the final value of the loss function.
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2.
公开(公告)号:US20210263974A1
公开(公告)日:2021-08-26
申请号:US17173318
申请日:2021-02-11
Inventor: Qian LI , Yabing SHI , Ye JIANG , Chunguang CHAI , Yong ZHU
IPC: G06F16/9032 , G06N3/04 , G06F16/906 , G06F16/903 , G06F40/30
Abstract: Provided by the present disclosure is a new category tag mining method, involving the field of knowledge graph technology, and including: obtaining a plurality of queries during a current preset time period; labeling a category tag on each query of the plurality of queries, by using a pre-trained sequence labeling model, to extract the category tag currently corresponding to the query from the query; and removing a category tag already existing in a preset current category tag library from category tags currently corresponding to all the queries, and determining a remaining category tag as a new category tag. The present disclosure also provides an electronic device and a non-transitory computer-readable storage medium.
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