MGIT Evaluation Server (OPE Mechanism with Tiny Version, Activity Granularity)

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:

SNLT

Long Name:

SNLT

Method Description:

n/a

Project Page:

n/a

Paper URL:

https://openaccess.thecvf.com/content/CVPR2021/html/Feng_Siamese_Natural_Language_Tracker_Tracking_by_Natural_Language_Descriptions_With_CVPR_2021_paper.html

Code URL:

https://github.com/fredfung007/snlt

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@inproceedings{feng2021siamese, title={Siamese natural language tracker: Tracking by natural language descriptions with siamese trackers}, author={Feng, Qi and Ablavsky, Vitaly and Bai, Qinxun and Sclaroff, Stan}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={5851--5860}, year={2021} }

Submissions (OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC) Results Reports
1 SNLT 0.234 0.004 0.038 0.025 0.028 27.93 fps Titan RTX python 2024-01-21, 01:56:49 results.zip reports.json