GOT-10k Evaluation Server

Submit your tracking results on GOT-10k to this website and evaluate the performance. Leaderboard will be updated immediately once the results are evaluated.

Tracker

Short Name:

DiMP50

Long Name:

Learning Discriminative Model Prediction for Tracking

Method Description:

DiMP model with ResNet-50 backbone

Project Page:

https://github.com/visionml/pytracking

Paper URL:

None

Code URL:

None

Hardware:

Nvidia GTX-1050

Language:

Python

Author:

goutamgmb

LaTex Bibtex:

@inproceedings{DiMP, title={Learning Discriminative Model Prediction for Tracking}, author={Goutam Bhat and Martin Danelljan and Luc Van Gool and Radu Timofte}, booktitle = {ICCV}, year = {2019}, }

Legend:

None

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 DiMP50 0.611 0.717 0.492 34.05 fps Nvidia GTX-1050 Python Sep 02, 2019 results.zip reports.json