VideoCube Evaluation Server (R-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:

SiamRCNN

Long Name:

SiamRCNN

Method Description:

n/a

Project Page:

https://github.com/VisualComputingInstitute/SiamR-CNN

Paper URL:

https://ieeexplore.ieee.org/document/9156711

Code URL:

https://github.com/VisualComputingInstitute/SiamR-CNN

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@INPROCEEDINGS{9156711, author={Voigtlaender, Paul and Luiten, Jonathon and Torr, Philip H.S. and Leibe, Bastian}, booktitle={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, title={Siam R-CNN: Visual Tracking by Re-Detection}, year={2020}, volume={}, number={}, pages={6577-6587}, doi={10.1109/CVPR42600.2020.00661}}

Submissions (R-OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Robust Hardware Language Date(UTC)↓ Results Reports
1 SiamRCNN 0.811 0.573 0.665 0.658 0.660 0.743 Titan RTX python 2022-03-03, 01:51:08 results.zip reports.json