Awesome

This is the implementation of our VITAL paper. The project page can be found here: https://ybsong00.github.io/cvpr18_tracking/index.html

The pipeline is built upon the MDNet tracker for your reference: http://cvlab.postech.ac.kr/research/mdnet/

Try 'tracking/demo_tracking.m' to see the tracker performance on the Bolt sequences.

A pytorch implemenation is provided here: https://github.com/abnerwang/py-Vital. Thanks to David Wang.

<p>If you find the code useful, please cite both VITAL and MDNet:</p> <pre><code>@inproceedings{nam-cvpr16-MDNET, author = {Nam, Hyeonseob and Han, Bohyung}, title = {Learning multi-domain convolutional neural networks for visual tracking}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition}, pages = {4293--4302}, year = {2016}, } </code></pre> <pre><code>@inproceedings{song-cvpr18-VITAL, author = {Song, Yibing and Ma, Chao and Wu, Xiaohe and Gong, Lijun and Bao, Linchao and Zuo, Wangmeng and Shen, Chunhua and Lau, Rynson and Yang, Ming-Hsuan}, title = {VITAL: VIsual Tracking via Adversarial Learning}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition}, year = {2018}, } </code></pre>