### Reproducibility Study on Adversarial Attacks against Robust Transformer Trackers
## Experiment 1: Adversarial Attacks per Tracker Output


# Step1: Download the trackers packages
Please download the trackers from VOT challenge (VOT2022) website, as follows:

1- MixFormer: http://data.votchallenge.net/vot2022/trackers/MixFormerM-code-2022-05-04T09_55_58.619853.zip
2- TransT: http://data.votchallenge.net/vot2022/trackers/TransT-code-2022-05-02T12_15_01.373097.zip

# Step2: Create the environment
For each tracker follow the instrudction to build the suitable environment as the instructions stated in their README.md file. 

# Step3: Download the networks 
For our experiments, we used the following networks:

1- MixFormer-M: 
    1.1- Tracker network(mixformer_vit_score_imagemae.pth.tar) from https://drive.google.com/file/d/1EOZgd3HVlTmhPdsWd-zGqx4I53H4oiqf/view 
    Place this network on the (MixFormerM_submit/mixformer/models)

    1.2- Segmentation Network(SEcmnet_ep0440.pth.tar) from https://drive.google.com/file/d/1J0ebV0Ksye62yQOba8ymCoWFFg-MxXVy/view
    Place this network on the (MixFormerM_submit/mixformer/external/AR/ltr/checkpoints/ltr/ARcm_seg/ARcm_coco_seg_only_mask_384)

2- TransT-SEG:
    TransTsegm_ep0075.pth.tar from (TransT/models/) folder of the tracker .zip file. 

# Step 4: Run the setup files 
Follow the instructions of each tracker to correct the paths and run the setup files. 

# Step 5: Tracker folders

For each tracker evaluation, follow the instruction in their folders 'TMLR_supp/exp1/*'.