Join GitHub today
GitHub is home to over 36 million developers working together to host and review code, manage projects, and build software together.Sign up
Attentional Correlation Filter Network for Adaptive Visual Tracking
Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Type||Name||Latest commit message||Commit time|
|Failed to load latest commit information.|
Attentional Correlation Filter Network for Adaptive Visual Tracking Jongwon Choi, 2017 https://sites.google.com/site/jwchoivision/home/acfn-1 When you use this code for your research, please refer the below reference. You can't use this code for any commercial purpose without author's agreement. If you have any question or comment, please contact to email@example.com. Python & matlab code for attentional correlation filter network Attentional network : Attentional_Network_final.ipynb Correlation filter network ; ACFN_final/demo.m Two codes are communicated by socket communication. (Default port = 50005) Running environment: Linux Ubuntu 14.04.5 LTS ipython 5.1.0 tensorflow 0.10.0rc0 CUDA Release 8.0, V8.0.26 MATLAB 2015b Reference  Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi, "Attentional Correlation Filter Network for Adaptive Visual Tracking", CVPR2017  Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi, "Visual Tracking Using Attention-Modulated Disintegration and Integration", CVPR2016 How to run the code: 1. Run 'ACFN_final/demo.m' 2. Run 'Attentional_Network_final.ipynb' Q&A 1. Port connection problem Change the default port number from 50005 to other numbers (such as 50006, 50007) in both matlab code and python code. -written: 20170505 Jongwon Choi