Invention Grant
- Patent Title: Object detection using neural network systems
-
Application No.: US15650790Application Date: 2017-07-14
-
Publication No.: US10467493B2Publication Date: 2019-11-05
- Inventor: Dominik Roblek , Christian Szegedy , Jacek Slawosz Jurewicz
- 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: G06K9/32
- IPC: G06K9/32 ; G06T7/11 ; G06K9/46 ; G06K9/66 ; G06N3/08 ; G06K9/62

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
- US20190019050A1 OBJECT DETECTION USING NEURAL NETWORK SYSTEMS Public/Granted day:2019-01-17
Information query