MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer-Reference-Cited by-同舟云学术

MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer

Published:2024-04 Issue:2 Volume:8 Page:1756-1771
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Zhu Dandan¹^ORCID,Zhu Kun²^ORCID,Ding Weiping³^ORCID,Zhang Nana⁴^ORCID,Min Xiongkuo⁵^ORCID,Zhai Guangtao⁵^ORCID,Yang Xiaokang⁶^ORCID

Affiliation:

1. Institute of AI Education, Shanghai, East China Normal University, Shanghai, China

2. Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai, China

3. School of Computer and Science and Technology, Nantong University, Jiangsu, China

4. School of Computer Science and Technology, Donghua University, Shanghai, China

5. Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China

6. MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Foundation of Key Laboratory of Artificial Intelligence

Ministry of Education

Natural Science Foundation of Jiangsu Province

Natural Science Key Foundation of Jiangsu Education Department

Shanghai Super Doctoral Incentive Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference50 articles.