Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection
Author:
Affiliation:
1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10382161/10148985.pdf?arnumber=10148985
Reference132 articles.
1. Learning to Detect Salient Objects with Image-Level Supervision
2. Global Contrast Based Salient Region Detection
3. Depth-aware salient object detection using anisotropic center-surround difference
4. RGBD Salient Object Detection: A Benchmark and Algorithms
5. RGB-D Saliency Detection via Cascaded Mutual Information Minimization
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