- 专利标题: OBJECT DETECTION METHOD AND DEVICE, AND OBJECT DETECTION MODULE TRAINING METHOD AND DEVICE
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申请号: US18291391申请日: 2023-02-24
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公开(公告)号: US20240355095A1公开(公告)日: 2024-10-24
- 发明人: Xiaojun TANG , Rui ZHENG , Ruijiao SHI
- 申请人: BOE TECHNOLOGY GROUP CO., LTD.
- 申请人地址: CN Beijing
- 专利权人: BOE TECHNOLOGY GROUP CO., LTD.
- 当前专利权人: BOE TECHNOLOGY GROUP CO., LTD.
- 当前专利权人地址: CN Beijing
- 优先权: WO TCN2022078114 2022.02.25
- 国际申请: PCT/CN2023/078250 2023.02.24
- 进入国家日期: 2024-01-23
- 主分类号: G06V10/774
- IPC分类号: G06V10/774 ; G06V10/40 ; G06V10/764 ; G06V10/77 ; G06V10/776 ; G06V10/778 ; G06V10/80 ; G06V10/82 ; G06V20/70
摘要:
An object detection method includes: acquiring an image to be detected; and processing the image to be detected by using an object detection model to obtain an object detection result corresponding to a target object to be detected in the image to be detected. The object detection model includes a feature extraction network and an object detection network. The feature extraction network is used to extract features of the image to be detected to obtain image features related to multiple classes of tar-get objects, and the object detection network is used to process the image features to obtain the object detection result. The object detection network includes a class channel layer, multiple object channel layers and multiple box channel layers.
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