Invention Application
- Patent Title: OBJECT DETECTION USING NEURAL NETWORK SYSTEMS
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Application No.: US15650790Application Date: 2017-07-14
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Publication No.: US20190019050A1Publication Date: 2019-01-17
- Inventor: Dominik Roblek , Christian Szegedy , Jacek Slawosz Jurewicz
- Applicant: Google Inc.
- Main IPC: G06K9/32
- IPC: G06K9/32 ; G06N3/08 ; G06T7/11 ; G06K9/46 ; G06K9/66

Abstract:
Systems, methods, and apparatus, including computer programs encoded on a computer storage medium. In one aspect, a system includes initial neural network layers configured to: receive an input image, and process the input image to generate a plurality of first feature maps that characterize the input image; a location generating convolutional neural network layer configured to perform a convolution on the representation of the first plurality of feature maps to generate data defining a respective location of each of a predetermined number of bounding boxes in the input image, wherein each bounding box identifies a respective first region of the input image; and a confidence score generating convolutional neural network layer configured to perform a convolution on the representation of the first plurality of feature maps to generate a confidence score for each of the predetermined number of bounding boxes in the input image.
Public/Granted literature
- US10467493B2 Object detection using neural network systems Public/Granted day:2019-11-05
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