Method and apparatus for controlling vehicle, and storage medium

    公开(公告)号:US11414071B2

    公开(公告)日:2022-08-16

    申请号:US17221238

    申请日:2021-04-02

    Abstract: A method and an apparatus for controlling a vehicle and a storage medium are disclosed. The method includes: controlling a vehicle to drive into a first parking space, the first parking space being a target parking space determined to be in an idle state; controlling the vehicle to stop driving into the first parking space in response to determining that the vehicle fails to drive into the first parking space while the vehicle is controlled to drive into the first parking space; determining a second parking space as the target parking space automatically; and controlling the vehicle to drive into the second parking space.

    LOGO PICTURE PROCESSING METHOD, APPARATUS, DEVICE AND MEDIUM

    公开(公告)号:US20220207286A1

    公开(公告)日:2022-06-30

    申请号:US17375468

    申请日:2021-07-14

    Abstract: The present disclosure provides a logo picture processing method, apparatus, device and medium, and relates to technical field of image processing, and specifically to the technical field of artificial intelligence such as deep learning and computer vision. The logo picture processing method includes: obtaining a logo picture including: a current logo graph and current text information; performing text recognition on the logo picture to obtain the current text information; searching for a picture that matches both the current logo graph and the current text information, to obtain a matched picture. The present disclosure may improve the accuracy of the matched picture of the logo picture and thereby improve the logo picture recognition accuracy.

    METHOD AND APPARATUS FOR UPDATE PROCESSING OF QUESTION ANSWERING SYSTEM

    公开(公告)号:US20220198301A1

    公开(公告)日:2022-06-23

    申请号:US17346794

    申请日:2021-06-14

    Abstract: The present disclosure provides a method and apparatus for update processing of a question answering system, relates to the technical field of artificial intelligence and specifically to big data and natural language processing technologies. A specific implementation solution is: acquiring an updated question-answer set; comparing blocks of the updated question-answer set with blocks of an original question-answer set in terms of question-answer pairs to determine an unchanged block and a changed block; acquiring feature data of questions included in the changed block, and creating an index file corresponding to the block, and adding the feature data to an updated training output set; and retaining the index file and feature data corresponding to the unchanged block, and adding the feature data to the updated training output set. The present disclosure can reduce the time consumed in the updating process and occupation of resources.

    Method and apparatus for commenting video

    公开(公告)号:US11367284B2

    公开(公告)日:2022-06-21

    申请号:US17117018

    申请日:2020-12-09

    Abstract: Embodiments of the present disclosure disclose a method and apparatus for commenting a video, and relate to the field of cloud computing. The method may include: acquiring content information of a to-be-processed video frame; constructing text description information based on the content information, the text description information being used to describe a content of the to-be-processed video frame; importing the text description information into a pre-trained text conversion model to obtain commentary text information corresponding to the text description information, the text conversion model being used to convert the text description information into the commentary text information; and converting the commentary text information into audio information.

    Method and apparatus for optimizing tag of point of interest

    公开(公告)号:US11361188B2

    公开(公告)日:2022-06-14

    申请号:US16857542

    申请日:2020-04-24

    Abstract: Embodiments of the present disclosure provide a method and apparatus for optimizing a tag of a point of interest. The method includes: acquiring a set of points of interest and a set of tags of points of interest in the set of points of interest; generating a point of interest-tag matrix based on the set of points of interest and the set of tags of points of interest in the set of points of interest; extracting a feature of a point of interest-tag in the point of interest-tag matrix; inputting the feature of the point of interest-tag in the point of interest-tag matrix into a pre-trained ternary self-adaptive collaborative learning model, to obtain a point of interest-tag score matrix; and optimizing the set of tags of points of interest in the set of points of interest based on the point of interest-tag score matrix.

    Data transmission apparatuses, data processing systems and methods

    公开(公告)号:US11360915B2

    公开(公告)日:2022-06-14

    申请号:US16904856

    申请日:2020-06-18

    Abstract: According to embodiments of the present disclosure, there is provided a data transmission apparatus. The data transmission apparatus includes a plurality of first ports, a plurality of second ports, and a plurality of data channels. The plurality of first ports are coupled to a processing unit. The plurality of second ports are coupled to a plurality of memories. The plurality of data channels are disposed among the first ports and the second ports to form an interleaving network having a plurality of layers, and configured to transmit data among the processing unit and the plurality of memories, such that each layer in the interleaving network includes at least one interleaving sub-network.

    Video blending method, apparatus, electronic device and readable storage medium

    公开(公告)号:US11354875B2

    公开(公告)日:2022-06-07

    申请号:US17020968

    申请日:2020-09-15

    Abstract: The present disclosure provides a video blending method, apparatus, electronic device and readable storage medium, and relates to computer vision technologies. A specific implementation solution is as follows: obtaining a predicted 3D face mesh of a facial image in each video frame images of the user video according to each video frame image of a user video and each video frame image of a template video; obtaining a predicted texture of the predicted 3D face mesh according to a user texture of a user 3D face mesh of the facial image in each video frame image of the user video and a template texture of a template 3D face mesh of the facial image in each video frame image of the template video; obtaining a rendered facial image of the predicted 3D face mesh according to the predicted 3D face mesh, the predicted texture and user face posture, and template face posture; performing blending processing for the rendered facial image and each video frame image of the template video to obtain a blended video frame image after the blending; performing synthesis processing for the blended video frame image to obtain a blended video.

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