3D OBJECT DETECTION METHOD, MODEL TRAINING METHOD, RELEVANT DEVICES AND ELECTRONIC APPARATUS

    公开(公告)号:US20220222951A1

    公开(公告)日:2022-07-14

    申请号:US17709283

    申请日:2022-03-30

    Inventor: Xiaoqing Ye Hao Sun

    Abstract: A 3D object detection method includes: obtaining a first monocular image; and inputting the first monocular image into an object model, and performing a first detection operation to obtain first detection information in a 3D space, wherein the first detection operation includes performing feature extraction in accordance with the first monocular image to obtain a first point cloud feature, adjusting the first point cloud feature in accordance with a target learning parameter to obtain a second point cloud feature, and performing 3D object detection in accordance with the second point cloud feature to obtain the first detection information, wherein the target learning parameter is used to present a difference degree between the first point cloud feature and a target point cloud feature of the first monocular image.

    DEEP LEARNING FRAMEWORK SCHEDULING
    233.
    发明申请

    公开(公告)号:US20220222111A1

    公开(公告)日:2022-07-14

    申请号:US17707895

    申请日:2022-03-29

    Abstract: A scheduling method for a deep learning framework, a scheduling apparatus, an electronic device, a storage medium, and a program product is provided, and can be used in the field of artificial intelligence, especially in the fields of machine learning, deep learning, etc. The method includes: receiving a processing request for processing a plurality of tasks by using a dedicated processing unit, the processing request including scheduling requirements for the plurality of tasks, and each of the plurality of tasks being associated with execution of multi-batch data processing; and scheduling, based on the scheduling requirements for the plurality of tasks in batches of data, the dedicated processing unit to process the plurality of tasks.

    Image processing method, apparatus, electronic device and storage medium

    公开(公告)号:US11379980B2

    公开(公告)日:2022-07-05

    申请号:US17097632

    申请日:2020-11-13

    Abstract: The present application discloses an image processing method, an apparatus, an electronic device and a storage medium. A specific implementation is: acquiring an image to be processed; acquiring a grading array according to the image to be processed and a grading network model, where the grading network model is a model pre-trained according to mixed samples, the number of elements contained in the grading array is C−1, C is the number of lesion grades, C lesion grades include one lesion grade without lesion and C−1 lesion grades with lesion, and a kth element in the grading array is a probability of a lesion grade corresponding to the image to be processed being greater than or equal to a kth lesion grade, where 1≤k≤C−1, and k is an integer; determining the lesion grade corresponding to the image to be processed according to the grading array.

    METHOD OF TRAINING CYCLE GENERATIVE NETWORKS MODEL, AND METHOD OF BUILDING CHARACTER LIBRARY

    公开(公告)号:US20220189189A1

    公开(公告)日:2022-06-16

    申请号:US17683508

    申请日:2022-03-01

    Abstract: A method of training a cycle generative networks model and a method of building a character library are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and which may be applied to a scene such as image processing and image recognition. A specific implementation scheme includes: inputting a source domain sample character into the cycle generative networks model to obtain a first target domain generated character; calculating a character error loss and a feature loss of the cycle generative networks model by inputting the first target domain generated character and a preset target domain sample character into a character classification model; and adjusting a parameter of the cycle generative networks model according to the character error loss and the feature loss. An electronic device and a storage medium are further provided.

    TRAINING METHOD FOR CHARACTER GENERATION MODEL, CHARACTER GENERATION METHOD, APPARATUS AND STORAGE MEDIUM

    公开(公告)号:US20220180043A1

    公开(公告)日:2022-06-09

    申请号:US17682422

    申请日:2022-02-28

    Abstract: Provided is a training method for a character generation model, a character generation method, apparatus and device, which relate to the technical field of artificial intelligences, particularly, the technical field of computer vision and deep learning. The specific implementation scheme includes: a first training sample is acquired, a target model is trained based on the first training sample, and a first character confrontation loss is acquired; a second training sample is acquired, the target model is trained based on the second training sample, and a second character confrontation loss, a component classification loss and a style confrontation loss are acquired; and a parameter of the character generation model is adjusted according to the first character confrontation loss, the second character confrontation loss, the component classification loss and the style confrontation loss.

    FUSING AND DEGRADATION METHOD AND APPARATUS FOR MICRO-SERVICE, DEVICE, AND MEDIUM

    公开(公告)号:US20220174122A1

    公开(公告)日:2022-06-02

    申请号:US17676056

    申请日:2022-02-18

    Abstract: Provided are a fusing and degradation method and apparatus for a micro-service, a device, a medium, and a program product, which relate to the field of the Internet, in particular to the field of fusing and degradation. The specific implementation is as follows: instantiating, by a monitoring probe woven into a micro-service traffic process, a fuse component according to an obtained fusing and degradation rule, and weaving, by the monitoring probe, the fuse component into the traffic process, where the fuse component is used for performing fusing and degradation on a traffic request processed in the traffic process. The fusing and degradation technology during the running of a micro-service is achieved through a probe so that the micro-service developer can fuse and degrade a micro-service application that is running without hard coding, thereby improving the efficiency and stability of the micro-service fusing and degradation.

    MAP DATA PROCESSING METHOD, DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT

    公开(公告)号:US20220155087A1

    公开(公告)日:2022-05-19

    申请号:US17591687

    申请日:2022-02-03

    Abstract: The present disclosure discloses a map data processing method, a device, a storage medium and a program product, and relates to intelligent transportation, automatic driving, electronic map and other fields in computer technology. A specific solution is: determining, according to coordinates of vertexes of a tile included in panoramic map data, coordinates of mapping points of the tile on a plane where a viewport is located; determining a bounding box of the mapping points according to the coordinates of the mapping points; according to whether there is an overlapping area between the bounding box of the mapping points and a visible range corresponding to the viewport, determining whether the tile falls within the visible range, thus determining the indexes of all the tiles falling within the visible range. In this way, the indexes of the tiles falling within the visible range corresponding to the current viewport can be determined accurately.

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