公开(公告)号：US11887225B2

公开(公告)日：2024-01-30

申请号：US17308032

申请日：2021-05-04

Applicant: Apple Inc.

Inventor： Hessam Bagherinezhad ,  Maxwell Horton ,  Mohammad Rastegari ,  Ali Farhadi

IPC: G06N3/04 ,  G06T11/60 ,  G06N3/08 ,  G06F18/214 ,  G06F18/241 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44 ,  G06V20/52 ,  G06V40/10 ,  G06V20/68

CPC classification number: G06T11/60 ,  G06F18/2148 ,  G06F18/241 ,  G06N3/045 ,  G06N3/08 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06V40/10 ,  G06T2210/22 ,  G06V20/68

Abstract: Systems and methods are disclosed for training neural networks using labels for training data that are dynamically refined using neural networks and using these trained neural networks to perform detection and/or classification of one or more objects appearing in an image. Particular embodiments may generate a set of crops of images from a corpus of images, then apply a first neural network to the set of crops to obtain a set of respective outputs. A second neural network may then be trained using the set of crops as training examples. The set of respective outputs may be applied as labels for the set of crops.