Invention Grant
- Patent Title: Generating numeric embeddings of images
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Application No.: US14972670Application Date: 2015-12-17
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Publication No.: US09836641B2Publication Date: 2017-12-05
- Inventor: James William Philbin , Gerhard Florian Schroff , Dmitry Kalenichenko
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06N3/08 ; G06K9/46 ; G06K9/66

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating numeric embeddings of images. One of the methods includes obtaining training images; generating a plurality of triplets of training images; and training a neural network on each of the triplets to determine trained values of a plurality of parameters of the neural network, wherein training the neural network comprises, for each of the triplets: processing the anchor image in the triplet using the neural network to generate a numeric embedding of the anchor image; processing the positive image in the triplet using the neural network to generate a numeric embedding of the positive image; processing the negative image in the triplet using the neural network to generate a numeric embedding of the negative image; computing a triplet loss; and adjusting the current values of the parameters of the neural network using the triplet loss.
Public/Granted literature
- US20160180151A1 GENERATING NUMERIC EMBEDDINGS OF IMAGES Public/Granted day:2016-06-23
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