METHOD OF GENERATING MULTIMODAL SET OF SAMPLES FOR INTELLIGENT INSPECTION, AND TRAINING METHOD

    公开(公告)号:US20230252295A1

    公开(公告)日:2023-08-10

    申请号:US18300217

    申请日:2023-04-13

    CPC classification number: G06N3/08 G06V10/778

    Abstract: A method of generating a multimodal set of samples for an intelligent inspection, and a training method, which relate to a field of an artificial intelligence technology, in particular to fields of deep learning, natural language processing, speech technology, computer vision, big data and so on. The method of generating a multimodal set of samples includes: inputting an environmental sample in a collected multimodal set of environmental samples into a single-modal model matched with a modality of the environmental sample, so as to obtain a model processing result corresponding to the environmental sample; determining an initial set of samples from the multimodal set of environmental samples according to the model processing result; and processing the initial set of samples by means of an active learning, so as to determine the multimodal set of samples.

    PRODUCT RECOGNITION METHOD, MODEL TRAINING METHOD, DEVICE AND ELECTRONIC DEVICE

    公开(公告)号:US20230214985A1

    公开(公告)日:2023-07-06

    申请号:US18181967

    申请日:2023-03-10

    CPC classification number: G06T7/0004 G06T2207/20081

    Abstract: A product recognition method and device, a model training method and device, and an electronic device are provided. The product recognition method includes: obtaining image data of a product; performing defect recognition on the image data based on a first recognition model, to obtain a first recognition result, wherein the first recognition model is configured to recognize a defective product; performing qualification recognition on the image data based on a second recognition model to obtain a second recognition result, wherein the second recognition model is configured to recognize a qualified product; determining a target recognition result of the product based on the first recognition result and the second recognition result.

    CONTEXT ACQUIRING METHOD AND DEVICE BASED ON VOICE INTERACTION

    公开(公告)号:US20210012777A1

    公开(公告)日:2021-01-14

    申请号:US16936967

    申请日:2020-07-23

    Abstract: Embodiments of the present disclosure provide a context acquiring method based on voice interaction and a device, the method comprising: acquiring a scene image collected by an image collection device at a voice start point of a current conversation, and extracting a face feature of each user in the scene image; if it is determined that there is a second face feature matching a first face feature according to the face feature of each user and a face database, acquiring a first user identifier corresponding to the second face feature from the face database; if it is determined that a stored conversation corresponding to the first user identifier is stored in a voice database, determine a context of a voice interaction according to the current conversation and the stored conversation, and after the voice end point of the current conversation is obtained, storing the current conversation into the voice database.

    DATA PROCESSING METHOD
    5.
    发明公开

    公开(公告)号:US20230195849A1

    公开(公告)日:2023-06-22

    申请号:US18169806

    申请日:2023-02-15

    CPC classification number: G06F18/22 G06F16/23

    Abstract: A data processing method is provided. The method includes: obtaining a sample data set for modeling; selecting a first sample data from the sample data set; generating, in response to determining that a similarity between a first semantic vector corresponding to a first feature dimension and a second semantic vector corresponding, to a second feature dimension meets a preset condition, a second sample data based on the first sample data; and adding the second sample data to the sample data set.

    METHOD OF PROCESSING FEATURE INFORMATION, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230145408A1

    公开(公告)日:2023-05-11

    申请号:US18148177

    申请日:2022-12-29

    CPC classification number: G06F16/26

    Abstract: A method of processing a feature information is provided, which relates to a field of data processing, in particular to fields of artificial intelligence and big data. The method includes: determining at least one candidate division point in a value range of the feature information, and determining an information value corresponding to each candidate division point; determining a target division point based on the information value; dividing the value range based on the target division point, so as to obtain two sub-ranges; determining a sub-range meeting a termination condition in the two sub-ranges as a target interval, determining a sub-range not meeting the termination condition in the two sub-ranges as a new value range, and returning to perform the step of determining at least one candidate division point in a value range until both sub-ranges meet the termination condition, so as to obtain a plurality of target intervals.

Patent Agency Ranking