Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks-Reference-Cited by-同舟云学术

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Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks

Published:2019-05 Issue:5 Volume:28 Page:2305-2318
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Fang Yuming^ORCID,Ding Guanqun^ORCID,Li Jia^ORCID,Fang Zhijun^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Henry Fok Education Foundation

Beijing Nova Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8614380/08561195.pdf?arnumber=8561195

Cited by 25 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. A Novel Divide and Conquer Solution for Long-term Video Salient Object Detection;Machine Intelligence Research;2024-04-27

2. Deep Gradual-Conversion and Cycle Network for Single-View Synthesis;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-12

3. I3D convolutional network algorithm with feature gating;2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR);2023-09-22

4. Modeling Long-range Dependencies and Epipolar Geometry for Multi-view Stereo;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-07-12

5. Quality-Driven Dual-Branch Feature Integration Network for Video Salient Object Detection;Electronics;2023-01-29

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