Rank-Based Filter Pruning for Real-Time UAV Tracking

Xucheng Wang1; Dan Zeng2; Qijun Zhao3; Shuiwang Li1

10.1109/ICME52920.2022.9859656

2022

2022 IEEE International Conference on Multimedia and Expo (ICME)

1945-7871

978-1-6654-8564-7

2022 IEEE International Conference on Multimedia and Expo (ICME)

2022-July

01-06

18-22 July 2022

Taipei, Taiwan

Unmanned aerial vehicle (UAV) tracking has wide poten-tial applications in such as agriculture, navigation, and public security. However, the limitations of computing resources, battery capacity, and maximum load of UAV hinder the de-ployment of deep learning-based tracking algorithms on UAV. Consequently, discriminative correlation filters (DCF) track-ers stand out in the UAV tracking community because of their high efficiency. However, their precision is usually much lower than trackers based on deep learning. Model compression is a promising way to narrow the gap (i.e., effciency, precision) between DCF- and deep learning- based trackers, which has not caught much attention in UAV tracking. In this paper, we propose the P-SiamFC++ tracker, which is the first to use rank-based filter pruning to compress the SiamFC++ model, achieving a remarkable balance between efficiency and precision. Our method is general and may encourage further studies on UAV tracking with model compression. Extensive experiments on four UAV benchmarks, including UAV123@10fps, DTB70, UAVDT and Vistrone2018, show that P-SiamFC++ tracker significantly outperforms state-of-the-art UAV tracking methods.

UAV Tracking Filter Pruning SiamFC++

共同第一 ; 其他

英语

EI

20223712732827

Air Navigation ; Aircraft Detection ; Antennas ; Deep Learning ; Unmanned Aerial Vehicles (UAV)

Air Navigation And Traffic Control:431.5 ; Ergonomics And Human Factors Engineering:461.4 ; Aircraft, General:652.1 ; Radar Systems And Equipment:716.2 ; Production Engineering:913.1

IEEE

1.Guilin University of Technology
2.Southern University of Science and Technology
3.Sichuan University

Xucheng Wang,Dan Zeng,Qijun Zhao,et al. Rank-Based Filter Pruning for Real-Time UAV Tracking[C],2022:01-06.