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:

TransOpt

Long Name:

Transformer Optimizing Object Tracking in a Meta Learning Manner

Method Description:

n/a

Project Page:

n/a

Paper URL:

None

Code URL:

None

Hardware:

Nvidia RTX 3060

Language:

Python

Author:

Clock_Cycle

LaTex Bibtex:

n/a

Legend:

None

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date↓ Results Reports
1 TransOpt 0.727 0.837 0.681 26.48 fps Nvidia RTX 3060 Python 2022-09-04, 17:25:42 results.zip reports.json