5 papers
Towards Real-World Visual Tracking with Temporal Contexts
Ziang Cao, Ziyuan Huang, Liang Pan +3
Visual tracking has made significant improvements in the past few decades. Most existing state-of-the-art trackers 1) merely aim for performance in ideal conditions while overlooki…
Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking
Changhong Fu, Mutian Cai, Sihang Li +3
Unmanned aerial vehicle (UAV) tracking is crucial for autonomous navigation and has broad applications in robotic automation fields. However, reliable UAV tracking remains a challe…
SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking
Liangliang Yao, Changhong Fu, Sihang Li +2
Vision-based object tracking has boosted extensive autonomous applications for unmanned aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint encoun…
HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking
Changhong Fu, Haolin Dong, Junjie Ye +3
Low-light environments have posed a formidable challenge for robust unmanned aerial vehicle (UAV) tracking even with state-of-the-art (SOTA) trackers since the potential image feat…
Local Perception-Aware Transformer for Aerial Tracking
Changhong Fu, Weiyu Peng, Sihang Li +2
Transformer-based visual object tracking has been utilized extensively. However, the Transformer structure is lack of enough inductive bias. In addition, only focusing on encoding…