VideoCube Evaluation Server

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

Tracker

Short Name:

SuperDiMP

Long Name:

SuperDiMP

Method Description:

n/a

Project Page:

https://martin-danelljan.github.io/

Paper URL:

https://ieeexplore.ieee.org/document/9157124

Code URL:

https://github.com/visionml/pytracking

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@INPROCEEDINGS{9157124, author={Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, booktitle={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, title={Probabilistic Regression for Visual Tracking}, year={2020}, volume={}, number={}, pages={7181-7190}, doi={10.1109/CVPR42600.2020.00721}}

Submissions

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE Hardware Language Date(UTC)↓ Reports
1 SuperDiMP 0.606 0.391 Titan RTX python 2021-12-04, 14:35:52 reports.json