MGIT Evaluation Server (OPE Mechanism with Tiny Version, Action)

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

Tracker

Short Name:

VLT_TT

Long Name:

VLT_TT

Method Description:

n/a

Project Page:

n/a

Paper URL:

https://proceedings.neurips.cc/paper_files/paper/2022/hash/1c8c87c36dc1e49e63555f95fa56b153-Abstract-Conference.html

Code URL:

https://github.com/JudasDie/SOTS

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@article{guo2022divert, title={Divert more attention to vision-language tracking}, author={Guo, Mingzhe and Zhang, Zhipeng and Fan, Heng and Jing, Liping}, journal={Advances in Neural Information Processing Systems}, volume={35}, pages={4446--4460}, year={2022} }

Submissions (OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Results Reports
1 VLT_TT 0.602 0.318 0.468 0.457 0.458 7.84 fps Titan RTX python 2024-01-21, 01:52:59 results.zip reports.json