VideoCube Evaluation Server (R-OPE Mechanism)

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:

Ocean

Long Name:

Ocean

Method Description:

n/a

Project Page:

https://github.com/researchmm/TracKit

Paper URL:

https://arxiv.org/abs/2006.10721

Code URL:

https://github.com/researchmm/TracKit

Hardware:

Titan RTX

Language:

python

Author:

Official

LaTex Bibtex:

@InProceedings{Ocean_2020_ECCV, author = {Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu}, title = {Ocean: Object-aware Anchor-free Tracking}, booktitle = {European Conference on Computer Vision (ECCV)}, month = {August}, year = {2020} }

Submissions (R-OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Robust Hardware Language Date(UTC) Results Reports
1 Ocean 0.753 0.405 0.525 0.515 0.514 0.736 Titan RTX python 2022-03-02, 10:24:26 results.zip reports.json