Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion

Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion

This paper proposes an effective method to improve the saliency detection performance of existing RGBD (RGB image with Depth map) saliency models. First, a progressive region classification method is proposed to collect training samples at coarse scale and fine scale via the inter-region hierarchica...

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Bibliographic Details
Main Authors: Huan Du, Zhi Liu, Hangke Song, Lin Mei, Zheng Xu
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
RGBD saliency detection
progressive region classification
inter-region hierarchical structure
random forest regressor
saliency fusion
Online Access:https://ieeexplore.ieee.org/document/7762806/

Internet

https://ieeexplore.ieee.org/document/7762806/

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