Multimodal-XAD

This is the official implementation of Multimodal-XAD.

Setting：

• Clone this repo and prepare the environment.

git clone https://github.com/lab-sun/Multimodal-XAD.git
cd Multimodal-XAD
conda env create -f environment.yaml --name Multimodal_XAD
conda activate Multimodal_XAD

Dataset

To download the nu-A2D dataset, please refers to: https://drive.google.com/drive/folders/15zQhXqRjs-KmZyCuxsfGbHiaLdpQbHst?usp=drive_link

Download all the files and then extract them into the folder of project_root/data/trainval/

Usage

• Clone this repo and prepare the environment.
• Download the dataset, create the foler data/trainval/ in the project root, and release the dataset into the /trainval/.
• To pretrain/train the network, use the pre_train.py/train.py.
• To obatin the prediction results: 1) download the weight and put into the folder of weight; 2) use the predict.py.
• The link for the weight is: https://drive.google.com/file/d/1CFvBUTZ_EL0c3NT6JJrEJPyLaLMjCAur/view?usp=drive_link

Citation

If you found this code or dataset are useful in your research, please consider citing

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If you have any questions, pleas feel free to contact us!

Contact: [email protected]; [email protected]

Website: https://yuxiangsun.github.io/