Emotional Video Captioning With Vision-Based Emotion Interpretation Network-Reference-Cited by-同舟云学术

Emotional Video Captioning With Vision-Based Emotion Interpretation Network

Published:2024 Issue: Volume:33 Page:1122-1135
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Song Peipei¹^ORCID,Guo Dan²^ORCID,Yang Xun¹^ORCID,Tang Shengeng²^ORCID,Wang Meng²^ORCID

Affiliation:

1. Department of Electronic Engineering and Information Science, School of Information Science and Technology, University of Science and Technology of China, Hefei, China

2. Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology (HFUT), Hefei, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Major Project of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10418849.pdf?arnumber=10418849

Reference86 articles.

1. CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

2. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

3. Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

4. Semantic Grouping Network for Video Captioning

5. Object Relational Graph With Teacher-Recommended Learning for Video Captioning

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