Deep Feature Filtering and Contextual Information Gathering Network for RGB-D Salient Object Detection
Author:
Affiliation:
1. China University of Geosciences,School of Automation,Wuhan,China,430074
2. Zhuzhou National Innovation Railway Technology Co., Ltd,Zhuzhou,China,412000
Funder
Ministry of Education
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10056019.pdf?arnumber=10056019
Reference16 articles.
1. Joint semantic mining for weakly supervised RGB-D salient object detection;li;Advances in neural information processing systems,2021
2. RGBD Salient Object Detection via Disentangled Cross-Modal Fusion
3. Mobilesal: Extremely efficient RGB-D salient object detection;wu;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021
4. cmsalgan: Rgb-d salient object detection with cross-view generative adversarial networks;jiang;IEEE Transactions on Multimedia,2020
5. A Single Stream Network for Robust and Real-Time RGB-D Salient Object Detection
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MSEDNet: Multi-scale fusion and edge-supervised network for RGB-T salient object detection;Neural Networks;2024-03
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