Dynamically Selecting Neural Networks for Detecting Predetermined Features

    公开(公告)号:US20220101098A1

    公开(公告)日:2022-03-31

    申请号:US17033474

    申请日:2020-09-25

    申请人: Facebook, Inc.

    IPC分类号: G06N3/04 G06N3/08

    摘要: In one embodiment, a method includes receiving an input for a machine-learning model configured to detect a plurality of predetermined features, the machine-learning model including at least a first neural network configured to detect a first subset of the plurality of predetermined features and a second neural network configured to detect a second subset of the plurality of predetermined features, generating a detection result by processing the input using the first neural network, determining that the input includes a feature in the first subset of the plurality of predetermined features based on the detection result and one or more detection criteria, and outputting the detection result as an output of the machine-learning model without using the second neural network to process the input in response to the determination.