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1.发明授权公开(公告)号：US11755654B2
公开(公告)日：2023-09-12
申请号：US17173318
申请日：2021-02-11
Inventor： Qian Li , Yabing Shi , Ye Jiang , Chunguang Chai , Yong Zhu
IPC: G06F16/90 , G06F16/9032 , G06F16/906 , G06F16/903 , G06F40/30 , G06N3/049
CPC classification number: G06F16/90332 , G06F16/906 , G06F16/90335 , G06F40/30 , G06N3/049
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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公开(公告)号：US12026230B2
公开(公告)日：2024-07-02
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 , G06F18/213 , G06F18/214 , G06F18/22
CPC classification number: G06F18/2148 , G06F18/213 , G06F18/22
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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