GOT-10k Evaluation Server

Submit your tracking results on GOT-10k to this website and evaluate the performance. Leaderboard will be updated immediately once the results are evaluated.

Tracker

Short Name:

MDNet

Long Name:

MDNet

Method Description:

None

Project Page:

http://cvlab.postech.ac.kr/research/mdnet/

Paper URL:

http://arxiv.org/pdf/1510.07945v2.pdf

Code URL:

https://github.com/HyeonseobNam/MDNet

Hardware:

1 GeForce GTX Titan X

Language:

Python

Author:

Official

LaTex Bibtex:

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking. N. Hyeonseob and B. Han. CVPR 2016.

Legend:

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking. N. Hyeonseob and B. Han. CVPR 2016.

Submissions

Submmition Count:

1 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date Results Reports
1 MDNet 0.299 0.303 0.099 1.52 fps 1 GeForce GTX Titan X Python Dec 10, 2018 results.zip reports.json