VideoCube Evaluation Server (OPE Mechanism with Full Version)

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:

SPLT

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 (OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Reports
1 SPLT 0.531 0.147 0.322 0.307 0.310 5.62 fps Titan RTX Python 2021-11-14, 07:04:22 reports.json