VideoCube Evaluation Server (OPE Mechanism with Tiny Version)

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

Tracker

Short Name:

LTMU

Long Name:

LTMU

Method Description:

n/a

Project Page:

https://github.com/Daikenan/LTMU

Paper URL:

https://ieeexplore.ieee.org/document/9156764

Code URL:

https://github.com/Daikenan/LTMU

Hardware:

Titan RTX

Language:

Python

Author:

Official

LaTex Bibtex:

n/a

Submissions (OPE Mechanism)

Submmition Count:

2 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Reports
1 LTMU 0.657 0.314 0.470 0.455 0.460 1.73 fps Titan RTX Python 2023-02-11, 08:34:45 reports.json
2 LTMU 0.657 0.314 0.470 0.455 0.460 1.73 fps Titan RTX Python 2023-02-11, 08:34:06 reports.json