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:

DOPNet

Long Name:

Dynamic Orthogonal Projection Network

Method Description:

n/a

Project Page:

n/a

Paper URL:

None

Code URL:

None

Hardware:

TITAN X (Pascal)

Language:

python

Author:

tominute

LaTex Bibtex:

n/a

Legend:

None

Submissions

Submmition Count:

5 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 DOPNet 0.653 0.776 0.519 29.77 fps TITAN X (Pascal) python Aug 27, 2020 results.zip reports.json
2 DOPNet 0.650 0.772 0.517 29.56 fps TITAN X (Pascal) python Aug 27, 2020 results.zip reports.json
3 DOPNet 0.647 0.769 0.513 29.67 fps TITAN X (Pascal) python Aug 27, 2020 results.zip reports.json
4 DOPNet 0.651 0.773 0.515 14.43 fps TITAN X (Pascal) python Aug 26, 2020 results.zip reports.json
5 DOPNet 0.648 0.770 0.513 15.11 fps TITAN X (Pascal) python Aug 25, 2020 results.zip reports.json