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:

SiamRPNPP

Long Name:

SiamRPNPP

Method Description:

n/a

Project Page:

https://github.com/STVIR/pysot

Paper URL:

https://ieeexplore.ieee.org/document/8954116

Code URL:

https://github.com/STVIR/pysot

Hardware:

Titan RTX

Language:

Python

Author:

Official

LaTex Bibtex:

@INPROCEEDINGS{8954116, author={Li, Bo and Wu, Wei and Wang, Qiang and Zhang, Fangyi and Xing, Junliang and Yan, Junjie}, booktitle={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, title={SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks}, year={2019}, volume={}, number={}, pages={4277-4286},

Submissions (OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Results Reports
1 SiamRPNPP 0.571 0.228 0.377 0.363 0.367 6.17 fps Titan RTX Python 2021-11-14, 07:03:41 results.zip reports.json