METHOD AND APPARATUS FOR TRAINING CLASSIFIER

    公开(公告)号:US20230177390A1

    公开(公告)日:2023-06-08

    申请号:US17892908

    申请日:2022-08-22

    CPC classification number: G06N20/00

    Abstract: This application relates to Artificial intelligence and provides a method for training a classifier, one example method including: obtaining a first training sample, where the first training sample includes a corresponding semantic tag; obtaining a plurality of second training samples, where each of the second training samples includes a corresponding semantic tag; determining a target sample from the plurality of second training samples based on semantic similarities between the first training sample and the plurality of second training samples; and training the classifier based on the first training sample, the target sample, and a semantic similarity between the first training sample and the target sample.

    METHOD AND APPARATUS FOR UPDATING OBJECT RECOGNITION MODEL

    公开(公告)号:US20230020965A1

    公开(公告)日:2023-01-19

    申请号:US17951271

    申请日:2022-09-23

    Abstract: This application provides a method and apparatus for updating an object recognition model in the field of artificial intelligence. In the technical solution provided in this application, a target image and first voice information of a user are obtained. The first voice information indicates a first category of a target object in the target image. A feature library of a first object recognition model is updated based on the target image and the first voice information. The updated first object recognition model includes a feature of the target object and a first label indicating the first category, and the feature of the target object corresponds to the first label. A recognition rate of an object recognition model can be improved more easily according to the technical solution provided in this application.

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