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    METHOD AND DEVICE FOR TRAINING A MACHINE LEARNING ALGORITHM
    7.
    发明公开
    METHOD AND DEVICE FOR TRAINING A MACHINE LEARNING ALGORITHM 审中-公开

    公开(公告)号：EP4099211A1

    公开(公告)日：2022-12-07

    申请号：EP21176922.9

    申请日：2021-05-31

    申请人： Aptiv Technologies Limited

    发明人： SCHOELER, Markus ,  SIEGEMUND, Jan ,  NUNN, Christian ,  SU, Yu ,  MEUTER, Mirko ,  BECKER, Adrian ,  CREMER, Peet

    IPC分类号： G06K9/00 ,  G06K9/32 ,  G06K9/50 ,  G06K9/62

    摘要： A method is provided for training a machine learning algorithm which relies on primary data captured by at least one primary sensor. Labels are identified based on auxiliary data provided by at least one auxiliary sensor. A care attribute or a no-care attribute is assigned to each label by determining a perception capability of the primary sensor for the label based on the primary data and based on the auxiliary data. Model predictions for the labels are generated via the machine learning algorithm. A loss function is defined for the model predictions. Negative contributions to the loss function are permitted for all labels. Positive contributions to the loss function are permitted for labels having a care attribute, while positive contributions to the loss function for labels having a no-care attribute are permitted only if a confidence of the model prediction for the respective label is greater than a threshold.