Object Recognition Method and Apparatus

    公开(公告)号:US20220245926A1

    公开(公告)日:2022-08-04

    申请号:US17668101

    申请日:2022-02-09

    Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

    Object Recognition Method and Apparatus

    公开(公告)号:US20220012533A1

    公开(公告)日:2022-01-13

    申请号:US17484545

    申请日:2021-09-24

    Abstract: This application discloses an object recognition method and apparatus in the field of artificial intelligence. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: obtaining one or more body regions of a to-be-recognized image; determining a saliency score of each of the one or more body regions; and when a saliency score of a body region A is greater than or equal to a categorization threshold, determining a feature vector of an object in the body region A based on a feature of the object in the body region A, and determining a category of the object in the body region A based on the feature vector of the object in the body region A and a category feature vector in a feature library, where the body region A is any one of the one or more body regions.

    Classification model training method and apparatus

    公开(公告)号:US11151182B2

    公开(公告)日:2021-10-19

    申请号:US16596938

    申请日:2019-10-09

    Abstract: A classification model training method includes obtaining a positive training set and a first negative training set, where the positive training set includes samples of a positive sample set in a corpus, where the first negative training set includes samples of an unlabeled sample set in the corpus, training, using the positive training set and the first negative training set, to obtain a first classification model, determining, using the first classification model, a pseudo negative sample in the first negative training set, removing the pseudo negative sample from the first negative training set, updating the first negative training set to a second negative training set, and training, using the positive training set and the second negative training set, to obtain a target classification model.

    Code Generating Method, Compiler, Scheduling Method, Scheduling Apparatus and Scheduling System
    16.
    发明申请
    Code Generating Method, Compiler, Scheduling Method, Scheduling Apparatus and Scheduling System 有权
    代码生成方法,编译器,调度方法,调度装置和调度系统

    公开(公告)号:US20160179484A1

    公开(公告)日:2016-06-23

    申请号:US15058610

    申请日:2016-03-02

    CPC classification number: G06F8/40 G06F9/445 G06F9/5027 G06F9/5044 G06F11/3604

    Abstract: A code generating method, a compiler, a scheduling method, an apparatus and a scheduling system where the generated code is an executable code and applied to a heterogeneous system, and the heterogeneous system includes an accelerated processor and a central processing unit (CPU) and the code generating method includes acquiring, by a compiler, resource information of the accelerated processor and resource information of the CPU in order to generate an operable platform list, identifying, by the compiler, accelerable code from first user code, embedding, by the compiler, a hook function and an exception handling function before the accelerable code to form second user code, and compiling, by the compiler, the second user code to obtain the executable code and the executable code generated may automatically implement proper scheduling of processors during execution.

    Abstract translation: 代码生成方法,编译器,调度方法,装置和调度系统,其中所生成的代码是可执行代码并应用于异构系统,并且异构系统包括加速处理器和中央处理单元(CPU)和 代码生成方法包括由编译器获取加速处理器的资源信息和CPU的资源信息,以便生成可操作的平台列表,由编译器识别来自第一用户代码的可加速代码,由编译器嵌入 ,在加速代码形成第二用户代码之前的钩子功能和异常处理功能,以及编译器编译第二用户代码以获得可执行代码,并且生成的可执行代码可以在执行期间自动实现处理器的适当调度。

    BREAKPOINT INFORMATION MANAGEMENT METHOD AND BREAKPOINT INFORMATION MANAGER
    17.
    发明申请
    BREAKPOINT INFORMATION MANAGEMENT METHOD AND BREAKPOINT INFORMATION MANAGER 有权
    断点信息管理方法和断点信息管理器

    公开(公告)号:US20130326547A1

    公开(公告)日:2013-12-05

    申请号:US13962820

    申请日:2013-08-08

    CPC classification number: G06F9/541 G06F11/3636

    Abstract: Embodiments of the present invention relate to a breakpoint information management method and a breakpoint information manager. The breakpoint information management method includes: obtaining, according to a query parameter obtained from a current application program and stored breakpoint information of at least one application program, breakpoint context information corresponding to the query parameter; calculating interest information according to the breakpoint context information; and returning the interest information to the current application program so that the current application program plays a corresponding electronic file. With the breakpoint information management method and the breakpoint information manager provided in the present invention, breakpoint information is deeply analyzed to obtain interest information, so that the breakpoint information is reused; and electronic files satisfying a user's interest characteristics are played for the user according to the interest information, thereby enlarging the application scope of the breakpoint information.

    Abstract translation: 本发明的实施例涉及断点信息管理方法和断点信息管理器。 断点信息管理方法包括:根据从当前应用程序获得的查询参数和存储至少一个应用程序的断点信息,获得与查询参数对应的断点上下文信息; 根据断点上下文信息计算兴趣信息; 并将兴趣信息返回到当前应用程序,使得当前应用程序播放相应的电子文件。 利用本发明中提供的断点信息管理方法和断点信息管理方法,对断点信息进行深度分析以获得兴趣信息,从而重用断点信息; 并且根据兴趣信息为用户播放满足用户兴趣特征的电子文件,从而扩大断点信息的应用范围。

    Object Recognition Method and Apparatus
    18.
    发明公开

    公开(公告)号:US20240331350A1

    公开(公告)日:2024-10-03

    申请号:US18741072

    申请日:2024-06-12

    CPC classification number: G06V10/761 G06V10/40

    Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

    Object recognition method and apparatus

    公开(公告)号:US12033369B2

    公开(公告)日:2024-07-09

    申请号:US17668101

    申请日:2022-02-09

    CPC classification number: G06V10/761 G06V10/40

    Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

Patent Agency Ranking