公开(公告)号：US20240104894A1

公开(公告)日：2024-03-28

申请号：US17949078

申请日：2022-09-20

Applicant: Lemon Inc.

Inventor： Song Bai ,  Yujun Shi

IPC: G06V10/764 ,  G06V10/72 ,  G06V10/771

CPC classification number: G06V10/764 ,  G06V10/72 ,  G06V10/771

Abstract: A method is proposed for sample processing. A first group of data are received, here data in the first group of data comprises a sample and a classification of the sample, and the classification belonging to a first group of classifications in a plurality of classifications associated with the data. A plurality of data with the classification are selected from the first group of data. A first and a second loss function are determined for training a classification model that represents an association relationship between samples and classifications of the samples based on a plurality of samples comprised in the plurality of data and the classification, the first and second loss functions represent classification accuracy and a feature distribution for the classification model. The classification model is trained based on the first and second loss functions. Therefore, the accuracy of the classification model may be increased.