MSG-BART: Multi-Granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-Grounded Dialogue Generation-Reference-Cited by-同舟云学术

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MSG-BART: Multi-Granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-Grounded Dialogue Generation

Published:2024-04-14 Issue: Volume:abs/2002.10695 Page:10516-10520
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liu Hongcheng¹,Chen Zhe¹,Li Hui¹,Wang Pingjie¹,Wang Yanfeng¹,Wang Yu¹

Affiliation:

1. Shanghai Jiao Tong University,Cooperative Medianet Innovation Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447469.pdf?arnumber=10447469

Reference26 articles.

1. Visual Instruction

2. Game-Based Video-Context Dialogue

3. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

4. Structured Co-reference Graph Attention for Video-grounded Dialogue

5. Multimodal Neural Graph Memory Networks for Visual Question Answering

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