Patent · US Active

Cascaded convolutional neural network

US10621477B2 · kind B2 · utility

2Cited by

5References

14Claims

0Family size

Assignee

Ramot at Tel-Aviv University Ltd. · IL

Inventors

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

Key dates

Filing date	Mar 1, 2018
Grant date	Apr 14, 2020
Priority date	—
Expiry date	Mar 1, 2038

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.