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:

ECO

Long Name:

ECO

Method Description:

None

Project Page:

http://www.cvl.isy.liu.se/research/objrec/visualtracking/ecotrack/index.html

Paper URL:

http://openaccess.thecvf.com/content_cvpr_2017/papers/Danelljan_ECO_Efficient_Convolution_CVPR_2017_paper.pdf

Code URL:

https://github.com/martin-danelljan/ECO

Hardware:

16 cores 2.0 GHz CPU

Language:

MATLAB

Author:

Official

LaTex Bibtex:

ECO: Efficient Convolution Operators for Tracking. M. Danelljan, G. Bhat, F.S. Khan, M. Felsberg, CVPR 2017.

Legend:

ECO: Efficient Convolution Operators for Tracking. M. Danelljan, G. Bhat, F.S. Khan, M. Felsberg, CVPR 2017.

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 ECO 0.316 0.309 0.111 2.62 fps 16 cores 2.0 GHz CPU MATLAB Dec 10, 2018 results.zip reports.json