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:

SPLT

Long Name:

n/a

Method Description:

n/a

Project Page:

https://github.com/iiau-tracker/SPLT

Paper URL:

https://ieeexplore.ieee.org/document/9009511

Code URL:

https://github.com/iiau-tracker/SPLT

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@INPROCEEDINGS{9009511, author={Yan, Bin and Zhao, Haojie and Wang, Dong and Lu, Huchuan and Yang, Xiaoyun}, booktitle={2019 IEEE/CVF International Conference on Computer Vision (ICCV)}, title={‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking}, year={2019}, volume={}, number={}, pages={2385-2393}, doi={10.1109/ICCV.2019.00247}}

Submissions

Submmition Count:

4 submissions.

Performance:

Method N-PRE PRE Hardware Language Date(UTC) Results Reports
1 SPLT 0.501 0.158 Titan RTX python 2021-12-04, 12:41:57 results.zip reports.json
2 SPLT 0.501 0.158 Titan RTX python 2021-12-04, 12:39:32 - reports.json
3 SPLT 0.501 0.158 Titan RTX python 2021-12-04, 12:36:11 - reports.json
4 SPLT 0.501 0.158 Titan RTX python 2021-12-04, 12:34:09 - reports.json