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公开(公告)号：US20230096921A1
公开(公告)日：2023-03-30
申请号：US17657118
申请日：2022-03-29
发明人： Shengyu Wei , Yuning Du , Xueying Lyu , Ying Zhou , Qiao Zhao , Qiwen Liu , Ran Bi , Xiaoguang Hu , Dianhai Yu , Yanjun Ma
IPC分类号： G06V10/764 , G06V10/40 , G06V10/74
摘要： The present disclosure provides an image recognition method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as image processing and deep learning technologies. The image recognition method includes: acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image; extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature; determining a target candidate feature in a plurality of candidate features using the target feature; and taking a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject. With the present disclosure, different image recognition requirements may be met, and a speed and accuracy of image recognition may be improved.
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公开(公告)号：US12118770B2
公开(公告)日：2024-10-15
申请号：US17657118
申请日：2022-03-29
发明人： Shengyu Wei , Yuning Du , Xueying Lyu , Ying Zhou , Qiao Zhao , Qiwen Liu , Ran Bi , Xiaoguang Hu , Dianhai Yu , Yanjun Ma
IPC分类号： G06V10/00 , G06V10/40 , G06V10/74 , G06V10/764
CPC分类号： G06V10/764 , G06V10/40 , G06V10/761
摘要： The present disclosure provides an image recognition method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as image processing and deep learning technologies. The image recognition method includes: acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image; extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature; determining a target candidate feature in a plurality of candidate features using the target feature; and taking a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject. With the present disclosure, different image recognition requirements may be met, and a speed and accuracy of image recognition may be improved.
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