# FSRU

**Repository Path**: thinking024/FSRU

## Basic Information

- **Project Name**: FSRU
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-03-09
- **Last Updated**: 2024-03-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](./fig/model.jpg "FSRU")

## Dataset
* [Weibo](https://drive.google.com/file/d/14VQ7EWPiFeGzxp3XC2DeEHi-BEisDINn/view)
* [Twitter (mediaeval)](https://github.com/MKLab-ITI/image-verification-corpus/tree/master/mediaeval2015)

## 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
```shell
python main_kfold.py
```