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:

MATrack_320

Long Name:

MATrack_vit_base_320

Method Description:

visual Object Tracking with Mutual Affinity Aligned to Human Intuition (https://ieeexplore.ieee.org/document/10539277)

Project Page:

n/a

Paper URL:

None

Code URL:

None

Hardware:

RTX 2080Ti

Language:

python

Author:

relay

LaTex Bibtex:

n/a

Legend:

None

Submissions

Submmition Count:

3 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Reports
1 MATrack_320 0.785 0.889 0.781 9.44 fps RTX 2080Ti python 2023-02-06, 04:40:53 reports.json
2 MATrack_320 0.773 0.875 0.761 37.28 fps RTX 2080Ti python 2023-02-06, 04:32:24 reports.json
3 MATrack_320 0.762 0.868 0.745 18.28 fps RTX 2080Ti python 2023-02-06, 04:05:13 reports.json