Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

[Paper]

Attentive Fusion is a layer designed to Fuse the output of Multimodal Data for Classification. The layer itself learns from the input data and provides useful information. It can be used beside Multi-Head Attention as it has less computation cost.

Approach

Acknowledge

@misc{mandal2024attentive,
      title={Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection}, 
      author={Atanu Mandal and Gargi Roy and Amit Barman and Indranil Dutta and Sudip Kumar Naskar},
      year={2024},
      eprint={2401.10653},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Updated on 31 January 2024