Invention Publication
- Patent Title: METHOD OF TRAINING TARGET OBJECT DETECTION MODEL, METHOD OF DETECTING TARGET OBJECT, ELECTRONIC DEVICE AND STORAGE MEDIUM
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Application No.: US17908070Application Date: 2022-01-29
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Publication No.: US20240193923A1Publication Date: 2024-06-13
- Inventor: Xiaodi WANG , Shumin HAN , Yuan FENG , Ying XIN , Yi GU , Bin ZHANG , Chao LI , Xiang LONG , Honghui ZHENG , Yan PENG , Zhuang JIA , Yunhao WANG
- 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 2110469553.1 2021.04.28
- International Application: PCT/CN2022/075108 2022.01.29
- Date entered country: 2022-08-30
- Main IPC: G06V10/778
- IPC: G06V10/778

Abstract:
A method of training a target object detection model includes: extracting a plurality of feature maps of a sample image according to a training parameter, fusing the plurality of feature maps to obtain at least one fused feature map, and obtaining an information of a target object based on the at least one fused feature map, by using the target object detection model; determining a loss of the target object detection model based on the information of the target object and a tag information of the sample image, and adjusting the training parameter according to the loss of the target object detection model. A method of detecting a target object and an apparatus are also provided.
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