Invention Grant
- Patent Title: Image classification through label progression
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Application No.: US17308032Application Date: 2021-05-04
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Publication No.: US11887225B2Publication Date: 2024-01-30
- Inventor: Hessam Bagherinezhad , Maxwell Horton , Mohammad Rastegari , Ali Farhadi
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: BAKERHOSTETLER
- Main IPC: G06N3/04
- 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

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.
Public/Granted literature
- US20210264211A1 IMAGE CLASSIFICATION THROUGH LABEL PROGRESSION Public/Granted day:2021-08-26
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