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Method and system for training a neural network to classify objects or events

机译:训练神经网络对对象或事件进行分类的方法和系统

摘要

A method includes receiving a first set of sensor data including data representing an object or an event in a monitored environment, receiving a second set of sensor data representing a corresponding time period as a time period represented by the first set of sensor data, inputting to a tutor classifier data representing the first set of data and including data representing the object or the event, generating a classification of the object or event in the tutor classifier, receiving the second set of sensor data at an apprentice classifier training process, receiving the classification generated in the tutor classifier at the apprentice classifier training process, and training the apprentice classifier in the apprentice classifier training process using the second set of sensor data as input and using the classification received from the tutor classifier as a ground-truth for the classification of the second set of sensor data.
机译:一种方法包括:接收第一组传感器数据,该第一组传感器数据包括表示被监视环境中的对象或事件的数据;接收第二组传感器数据,该第二组传感器数据表示作为第一组传感器数据所表示的时间段的对应时间段;代表第一组数据并包括代表对象或事件的数据的导师分类器数据,在导师分类器中生成对象或事件的分类,在学徒分类器训练过程中接收第二组传感器数据,接收分类在学徒分类器训练过程中由导师分类器生成,并使用第二组传感器数据作为输入,并使用从导师分类器接收到的分类作为分类的基础,在学徒分类器训练过程中对学徒分类器进行训练。第二组传感器数据。

著录项

  • 公开/公告号US10635936B2

    专利类型

  • 公开/公告日2020-04-28

    原文格式PDF

  • 申请/专利权人 AXIS AB;

    申请/专利号US201816011688

  • 发明设计人 JOACIM TULLBERG;VIKTOR ANDERSSON;

    申请日2018-06-19

  • 分类号G06K9/62;G06K9;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 11:28:12

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