MKDNet

Tiny Object Tracking with Multilevel Knowledge Distillation Network and A Large-scale Benchmark

Dataset

💾 Download from Baidu Disk:

link：https://pan.baidu.com/s/1EGSSOGsGeRGgRB5HmtWH3w 
extraction code：5dlx

💾 Download from GoogleDrive:

* LaTOT-part1 link：https://drive.google.com/drive/folders/1eMKQnRPLTC9URhiW0eRQ1z6tqwh9YB-k?usp=drive_link
* LaTOT-part2 link：https://drive.google.com/drive/folders/1u5PHyt20RmwvsgNsUf7TVFfwZ3Mc3pko?usp=drive_link

Evaluation Code

💾 Download from Baidu Disk:

link：https://pan.baidu.com/s/1XZjhC3_45ndJLp_PAZ4lrQ 
extraction code：chaj

It is worth noting that the evaluation code derived from https://github.com/HengLan/LaSOT_Evaluation_Toolkit.

💾 Download from GoogleDrive:

link: https://drive.google.com/file/d/19SMcFBvHTan-PDpeYmGFsjk0sZZ8EdXn/view?usp=drive_link

Tracking Model

💾 Download from Baidu Disk:

link：https://pan.baidu.com/s/1dbZ59rBkFSnIHj2Ah_8Uyg 
extraction code：25pl

💾 Download from GoogleDrive:

link: https://drive.google.com/file/d/14oyFuSppJoDJHFO_08Zyot10MRRLvlme/view?usp=sharing

Testing run

• python run_tracker.py dimp super_dimp --dataset_name sot