Patent · US Active

Cascaded convolutional neural network

US10296815B2 · kind B2 · utility

1Cited by

2References

15Claims

0Family size

Assignee

Ramot at Tel-Aviv University Ltd. · IL

Inventors

Lior Wolf · Cambridge, US
Assaf Mushinsky · Nes Ziona, IL

Key dates

Filing date	Apr 20, 2017
Grant date	May 21, 2019
Priority date	—
Expiry date	Apr 20, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A convolutional neural network system for detecting at least one object in at least one image. The system includes a plurality of object detectors, corresponding to a predetermined image window size in the at least one image. Each object detector is associated with a respective down-sampling ratio with respect to the at least one image. Each object detector includes a respective convolutional neural network and an object classifier coupled with the convolutional neural network. The respective convolutional neural network includes a plurality of convolution layers. The object classifier classifies objects in the image according to the results from the convolutional neural network. Object detectors associated with the same respective down-sampling ratio define at least one group of object detectors. Object detectors in a group of object detectors being associated with common convolution layers.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.