Invention Grant
- Patent Title: Generating object embeddings from images
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Application No.: US15818124Application Date: 2017-11-20
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Publication No.: US10657359B2Publication Date: 2020-05-19
- Inventor: Gerhard Florian Schroff , Dmitry Kalenichenko , Keren Ye
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/04 ; G06N3/08 ; G06K9/46 ; G06K9/62

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an object embedding system. In one aspect, a method comprises providing selected images as input to the object embedding system and generating corresponding embeddings, wherein the object embedding system comprises a thumbnailing neural network and an embedding neural network. The method further comprises backpropagating gradients based on a loss function to reduce the distance between embeddings for same instances of objects, and to increase the distance between embeddings for different instances of objects.
Public/Granted literature
- US20190156106A1 GENERATING OBJECT EMBEDDINGS FROM IMAGES Public/Granted day:2019-05-23
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