Patent · US Active

Image salient object segmentation method and apparatus based on reciprocal attention between foreground and background

US11151725B2 · kind B2 · utility

1Cited by

0References

9Claims

0Family size

Assignee

Beihang University · CN

Inventors

Jia Li · Beijing, CN
Changqun Xia · Beijing, CN
Jinming Su · Beijing, CN
Qinping Zhao · Beijing, CN

Key dates

Filing date	Sep 24, 2019
Grant date	Oct 19, 2021
Priority date	—
Expiry date	Apr 1, 2040

Classification

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

Abstract

An image salient object segmentation method and an apparatus based on reciprocal attention between a foreground and a background, and the method includes: obtaining a feature map corresponding to a training image based on a convolutional neural backbone network, and obtaining foreground and background initial feature responses according to the feature map; obtaining a reciprocal attention weight matrix, and updating the foreground and background initial feature responses according to the reciprocal attention weight matrix, to obtain foreground and background feature maps; training the convolutional neural backbone network according to the foreground and the background feature maps based on a cross entropy loss function and a cooperative loss function, to obtain a foreground and background segmentation convolutional neural network model; and inputting an image to be segmented into the foreground and background segmentation convolutional neural network model to obtain foreground and background prediction results.

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