Jul 27, 2023 · This paper proposes using Fisher pruning to reduce the SiamFC++ model for UAV tracking, resulting in the F-SiamFC++ tracker. The proposed tracker achieves a remarkable balance between precision and efficiency, as demonstrated through exhaustive experiments on four popular UAV benchmarks: UAVDT, DTB70, UAV123@10fps, and Vistrone2018, showing ...

In this paper, we propose to exploit Fisher pruning to compress the SiamFC++ model for UAV tracking, resulting in our proposed F-SiamFC++ tracker which demonstrates a remarkable balance between efficiency and precision.

• Utilizing such model compression as rank-based filter pruning for UAV tracking has not been well explored before, our work provides a fresh perspective to boost efficiency and precision in UAV tracking. • We propose the DP-SiamFC++ tracker that learns disentangled representation in …

In this work, we are the first to use rank-based filter pruning to narrow the gap between DCF- and DL- based trackers in UAV tracking. The proposed P-SiamFC++(v1) and P-SiamFC++(v2) achieve a remarkable balance between efficiency and precision, and demonstrates state-of-the-art performance on four public UAV benchmarks, namely, UAV123@10fps ...

Jul 5, 2022 · 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.

This paper dedicates to boost the efficiency of DL-based trackers for UAV tracking by presenting a global filter pruning and proposes a self-attention module, which seeks to learn backbone features that highlight meaningful visual inter-dependencies, in order to combat the precision drop, and, importantly, to avoid the arduous process of ...

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 eficiency and precision. Our method is general and may encourage further studies on UAV tracking with model compression.

This paper aims to improve the efficiency of the DL-based tracker SiamFC++, in particular, for UAV tracking using the model compression technique, i.e., rank-based filter pruning, which has not been well explored before.

Jan 1, 2024 · After incorporating the Ranking Loss and ECA module into SiamCAR, along with the introduction of Ranking-based Filter Pruning (RFP) for model pruning, the performance of the RB-SiamCAR model demonstrates significant improvements.

This paper proposes using Fisher pruning to reduce the SiamFC++ model for UAV tracking, resulting in the F-SiamFC++ tracker. The proposed tracker achieves a remarkable balance between precision and eciency, as demonstrated through exhaustive experiments on four popular UAV benchmarks: