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:

SiamDW

Long Name:

SiamDW

Method Description:

n/a

Project Page:

https://github.com/researchmm/TracKit

Paper URL:

https://ieeexplore.ieee.org/document/8953458

Code URL:

https://github.com/researchmm/TracKit

Hardware:

Titan RTX

Language:

Python

Author:

Official

LaTex Bibtex:

@InProceedings{SiamDW_2019_CVPR, author = {Zhang, Zhipeng and Peng, Houwen}, title = {Deeper and Wider Siamese Networks for Real-Time Visual Tracking}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2019} }

Submissions (OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Results Reports
1 SiamDW 0.452 0.088 0.154 0.143 0.141 11.11 fps Titan RTX Python 2021-11-14, 07:02:06 results.zip reports.json