Invention Publication
- Patent Title: TRAINING METHOD FOR HUMAN BODY ATTRIBUTE DETECTION MODEL, ELECTRONIC DEVICE AND MEDIUM
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Application No.: US18150964Application Date: 2023-01-06
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Publication No.: US20230153387A1Publication Date: 2023-05-18
- Inventor: Chao Li , Ying Xin , Yuan Feng , Bin Zhang , Yunhao Wang , Xiaodi Wang , Yi Gu , Xiang Long , Yan Peng , Honghui Zheng , Zhuang Jia , Shumin Han
- Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
- Applicant Address: CN Beijing
- Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
- Current Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
- Current Assignee Address: CN Beijing
- Priority: CN 2110462302.0 2021.04.27
- Main IPC: G06F18/214
- IPC: G06F18/214 ; G06V10/25

Abstract:
A training method for a human body attribute detection model includes: acquiring positive sample sub-images and negative sample sub-images respectively corresponding to a plurality of human body attribute categories; determining a plurality of first annotation attributes respectively corresponding to the plurality of positive sample sub-images; and a plurality of second annotation attributes respectively corresponding to the plurality of negative sample sub-images; and training an artificial intelligence model according to the plurality of positive sample sub-images, the plurality of negative sample sub-images, the plurality of first annotation attributes and the plurality of second annotation attributes to obtain the human body attribute detection model, so that the human body attribute detection model obtained by training can effectively model fine-grained attributes of the human body.
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