/FSRU

A PyTorch implementation of the paper "Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector".

Primary LanguagePython

FSRU

This is the PyTorch implementation of AAAI 2024 paper "Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector".

by AN Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao

FSRU

Dataset

Dependencies

This code requires the following:

  • python == 3.9
  • torch == 2.1.1
  • torchvision == 0.16.1
  • numpy == 1.26.2
  • pandas == 2.1.1
  • scipy == 1.11.4
  • scikit-learn == 1.3.2
  • timm == 0.9.12

Running the experiments

python main_kfold.py