A Brain-Inspired Hierarchical Interactive In-Memory Computing System and Its Application in Video Sentiment Analysis-Reference-Cited by-同舟云学术

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A Brain-Inspired Hierarchical Interactive In-Memory Computing System and Its Application in Video Sentiment Analysis

Published:2023-12 Issue:12 Volume:33 Page:7928-7942
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Ji Xiaoyue¹^ORCID,Dong Zhekang²^ORCID,Han Yifeng¹^ORCID,Lai Chun Sing³^ORCID,Qi Donglian¹^ORCID

Affiliation:

1. College of Electrical Engineering, Zhejiang University, Hangzhou, China

2. School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China

3. Department of Electronic and Computer Engineering, Brunel University London, London, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for the Provincial University of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10348119/10123695.pdf?arnumber=10123695

Reference53 articles.

1. Multimodal Local-Global Attention Network for Affective Video Content Analysis

2. Affective Video Content Analysis via Multimodal Deep Quality Embedding Network

3. BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis

4. Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals

5. Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis

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