Predicting 360° Video Saliency: A ConvLSTM Encoder-Decoder Network With Spatio-Temporal Consistency-Reference-Cited by-同舟云学术

Predicting 360° Video Saliency: A ConvLSTM Encoder-Decoder Network With Spatio-Temporal Consistency

Published:2024-06 Issue:2 Volume:14 Page:311-322
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Wan Zhaolin¹,Qin Han²,Xiong Ruiqin³^ORCID,Li Zhiyang⁴^ORCID,Fan Xiaopeng¹^ORCID,Zhao Debin¹^ORCID

Affiliation:

1. Faculty of Computing, Harbin Institute of Technology, Harbin, China

2. College of Artificial Intelligence, Dalian Maritime University, Dalian, China

3. Department of Computer Science and Technology, School of EECS, Peking University, Beijing, China

4. Information Science and Technology College, Dalian Maritime University, Dalian, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Post-Doctoral Fellowship Program of China Post-Doctoral Science Foundation

China Post-Doctoral Science Foundation

Heilongjiang Post-Doctoral Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference46 articles.

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. Guest Editorial Advances in Generative Visual Signal Coding and Processing;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06