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Code for 《D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection》.

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D2R

This is the official implementation of the paper "D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection", which is accepted by EMNLP 2024. (https://aclanthology.org/2024.emnlp-main.207/)

Environment Requirements

The experiments were conducted on a single GeForce RTX 3090 GPU with 24GB memory.

  • Python 3.7.16
  • PyTorch 1.7.1
  • CUDA 11.2

To run the code, you need to install the requirements:

pip install -r requirements.txt

Run Code

At last, you can run the below code:

bash run.sh

Papers for the Project & How to Cite

If you use or extend our work, please cite the paper as follows:

@inproceedings{chen2024d2r,
  title={D2r: Dual-branch dynamic routing network for multimodal sentiment detection},
  author={Chen, Yifan and Li, Kuntao and Mai, Weixing and Wu, Qiaofeng and Xue, Yun and Li, Fenghuan},
  booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  pages={3536--3547},
  year={2024}
}

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Code for 《D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection》.

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