VideoCube Evaluation Server (OPE Mechanism with Full 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:

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 (OPE Mechanism)

Submmition Count:

2 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Results Reports
1 Ocean 0.519 0.183 0.325 0.309 0.313 12.99 fps Titan RTX Python 2021-11-14, 06:58:15 results.zip reports.json
2 Ocean 0.519 0.183 0.325 0.309 0.313 12.99 fps Titan RTX Python 2021-11-14, 06:58:03 - reports.json