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:

CCOT

Long Name:

CCOT

Method Description:

None

Project Page:

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

Paper URL:

http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/C-COT_ECCV16.pdf

Code URL:

https://github.com/martin-danelljan/Continuous-ConvOp

Hardware:

16 cores 2.0 GHz CPU

Language:

MATLAB

Author:

Official

LaTex Bibtex:

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. M. Danelljan, A. Robinson, F. Khan, M. Felsberg, ECCV 2016.

Legend:

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. M. Danelljan, A. Robinson, F. Khan, M. Felsberg, ECCV 2016.

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 CCOT 0.325 0.328 0.107 0.68 fps 16 cores 2.0 GHz CPU MATLAB Dec 10, 2018 results.zip reports.json