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Codebase for TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis. The code has been reorganized. If you encounter any bugs, feel free to reach out to me.

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Codebase for our paper:

TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis

๐Ÿ“ฆ Data & Environment

  • Download MOSI, MOSEI, and CH-SIMS datasets following MMSA.
  • This work is developed based on the LNLN framework, with data preparation and processing procedures following its implementation.
  • Mamba-related environment configuration and module implementations refer to DepMamba.

๐Ÿ™Œ๐Ÿป Acknowledgements

We sincerely acknowledge the outstanding work of

  • ALMT and LNLN, which provide the foundation for our data preparation, processing, and experimental pipelines.
  • DepMamba, for its clean and efficient implementation of Mamba variants and environment setup guidance.

Our training and evaluation pipelines are adapted from LNLN. This project benefits greatly from these prior contributions.

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Codebase for TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis. The code has been reorganized. If you encounter any bugs, feel free to reach out to me.

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