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:

FDSiamFC

Long Name:

FDSiamFC: A model compression approach

Method Description:

We propose a model compression approach to distill feature between convolutional layers, and compress the convolutional kernel size with the distilled feature.

Project Page:

None

Paper URL:

None

Code URL:

None

Hardware:

i7 9700k RTX 2080Ti

Language:

Python

Author:

Conquerhuang

LaTex Bibtex:

Ensemble Siamese Networks for Object Tracking

Legend:

None

Submissions

Submmition Count:

4 submissions.

Performance:

Method AO SR0.50 SR0.75 Hz Hardware Language Date↓ Results Reports
1 FDSiamFC 0.350 0.381 0.106 180.73 fps i7 9700k RTX 2080Ti Python 2022-06-16, 03:19:41 results.zip reports.json
2 FDSiamFC 0.441 0.516 0.161 105.32 fps i7 9700k RTX 2080Ti Python 2022-05-27, 03:19:46 - reports.json
3 FDSiamFC 0.441 0.516 0.161 55.70 fps i7 9700k RTX 2080Ti Python 2022-05-27, 02:00:41 - reports.json
4 FDSiamFC 0.348 0.385 0.112 124.67 fps i7 9700k RTX 2080Ti Python 2021-07-14, 03:16:29 - reports.json