VideoCube Evaluation Server (R-OPE Mechanism)

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:

DiMP

Long Name:

DiMP

Method Description:

n/a

Project Page:

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

Paper URL:

https://ieeexplore.ieee.org/document/9010649

Code URL:

https://github.com/visionml/pytracking

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@INPROCEEDINGS{9010649, author={Bhat, Goutam and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, booktitle={2019 IEEE/CVF International Conference on Computer Vision (ICCV)}, title={Learning Discriminative Model Prediction for Tracking}, year={2019}, volume={}, number={}, pages={6181-6190}, doi={10.1109/ICCV.2019.00628}}

Submissions (R-OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Robust Hardware Language Date(UTC) Results Reports
1 DiMP 0.771 0.389 0.567 0.557 0.559 0.739 Titan RTX python 2022-03-02, 10:17:51 results.zip reports.json