Video classification method and apparatus, model training method and apparatus, device, and storage medium

    公开(公告)号:US11967151B2

    公开(公告)日:2024-04-23

    申请号:US17515164

    申请日:2021-10-29

    摘要: Embodiments of this application disclose a video classification method performed by a computer device and belong to the field of computer vision (CV) technologies. The method includes: obtaining a video; selecting n image frames from the video; extracting respective feature information of the n image frames according to a learned feature fusion policy by using a feature extraction network, the learned feature fusion policy being used for indicating proportions of the feature information of the other image frames that have been fused with feature information of a first image frame in the n image frames; and determining a classification result of the video according to the respective feature information of the n image frames. By replacing complex and repeated 3D convolution operations with simple feature information fusion between adjacent image frames, time for finally obtaining a classification result of the video is therefore reduced, thereby having high efficiency.

    Resolving out of sequence data in sensor tracking

    公开(公告)号:US11954179B2

    公开(公告)日:2024-04-09

    申请号:US17018069

    申请日:2020-09-11

    发明人: Yu Han Yu Liu

    摘要: Provided herein is a system and method to fuse data from sensors. The system includes sensors configured to capture data associated with one or more targets, the data including timestamps indicating originating times, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform obtaining, at a filter, transmitted data associated with the one or more targets from the plurality of sensors, from the obtained data, identifying an unsequenced measurement having a timestamp before a second timestamp of a second measurement but obtained at the filter after the second measurement was obtained at the filter, updating a state of the filter according to the unsequenced measurement, based on a nonlinear measurement model and a nonlinear process model.