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:

MEEM

Long Name:

MEEM

Method Description:

None

Project Page:

http://cs-people.bu.edu/jmzhang/MEEM/MEEM.html

Paper URL:

http://cs-people.bu.edu/jmzhang/MEEM/MEEM-eccv-preprint.pdf

Code URL:

https://cs-people.bu.edu/jmzhang/MEEM/down_code.php?Down=MEEM_v1.1_release.zip

Hardware:

16 cores 2.0 GHz CPU

Language:

MATLAB

Author:

Official

LaTex Bibtex:

MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. J. Zhang, S. Ma and S. Sclaroff, ECCV 2014.

Legend:

MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. J. Zhang, S. Ma and S. Sclaroff, ECCV 2014.

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 MEEM 0.253 0.235 0.068 20.59 fps 16 cores 2.0 GHz CPU MATLAB Dec 10, 2018 results.zip reports.json