The Test code

• download the pretrained model from google drive: SiamRPNBIG.model, and put it in './code'.

• install pytorch, numpy, opencv following the instructions in the run_install.sh. Please do not use conda to install.

• modify the imagedir and gtdir in test.py

DaSiamRPN

This repository includes PyTorch code for reproducing the results on VOT2018.

Distractor-aware Siamese Networks for Visual Object Tracking

Zheng Zhu^*, Qiang Wang^*, Bo Li^*, Wei Wu, Junjie Yan, and Weiming Hu

European Conference on Computer Vision (ECCV), 2018

License

Licensed under an MIT license.

Citing DaSiamRPN

If you find DaSiamRPN and SiamRPN useful in your research, please consider citing:

@inproceedings{Zhu_2018_ECCV,
  title={Distractor-aware Siamese Networks for Visual Object Tracking},
  author={Zhu, Zheng and Wang, Qiang and Bo, Li and Wu, Wei and Yan, Junjie and Hu, Weiming},
  booktitle={European Conference on Computer Vision},
  year={2018}
}

@InProceedings{Li_2018_CVPR,
  title = {High Performance Visual Tracking With Siamese Region Proposal Network},
  author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018}
}