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:

GOTURN

Long Name:

GOTURN

Method Description:

None

Project Page:

http://davheld.github.io/GOTURN/GOTURN.html

Paper URL:

http://davheld.github.io/GOTURN/GOTURN.pdf

Code URL:

https://github.com/davheld/GOTURN

Hardware:

1 GeForce GTX Titan X

Language:

Python

Author:

Official

LaTex Bibtex:

Learning to Track at 100 FPS with Deep Regression Networks. D. Held, S. Thrun, S. Savarese, ECCV 2016.

Legend:

Learning to Track at 100 FPS with Deep Regression Networks. D. Held, S. Thrun, S. Savarese, ECCV 2016.

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date↓ Results Reports
1 GOTURN 0.347 0.375 0.124 108.55 fps 1 GeForce GTX Titan X Python 2018-12-10, 03:45:42 results.zip reports.json