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:

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