GOT-10k Evaluation Server

Submit your tracking results on GOT-10k to this website and evaluate the performance. Leaderboard will be updated immediately once the results are evaluated.

Tracker

Short Name:

CFNetc2

Long Name:

CFNetc2

Method Description:

None

Project Page:

http://www.robots.ox.ac.uk/~luca/cfnet.html

Paper URL:

http://openaccess.thecvf.com/content_cvpr_2017/papers/Valmadre_End-To-End_Representation_Learning_CVPR_2017_paper.pdf

Code URL:

https://github.com/bertinetto/cfnet

Hardware:

1 GeForce GTX Titan X

Language:

MATLAB

Author:

Official

LaTex Bibtex:

End-to-End Representation Learning for Correlation Filter based tracking. J. Valmadre, L. Bertinetto, J.F. Henriques, A. Vedaldi, P.H.S. Torr, CVPR 2017.

Legend:

End-to-End Representation Learning for Correlation Filter based tracking. J. Valmadre, L. Bertinetto, J.F. Henriques, A. Vedaldi, P.H.S. Torr, CVPR 2017.

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 CFNetc2 0.293 0.265 0.087 35.62 fps 1 GeForce GTX Titan X MATLAB Dec 10, 2018 results.zip reports.json