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20212026
most citedHiFT: Hierarchical Feature Transformer for Aerial Tracking

11 citations · 26 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

AirShot: Efficient Few-Shot Detection for Autonomous Exploration

Zihan Wang, Bowen Li, Chen Wang +1

Few-shot object detection has drawn increasing attention in the field of robotic exploration, where robots are required to find unseen objects with a few online provided examples.…

cs.CV2022

Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention

Guangze Zheng, Changhong Fu, Junjie Ye +3

Although the manipulating of the unmanned aerial manipulator (UAM) has been widely studied, vision-based UAM approaching, which is crucial to the subsequent manipulating, generally…

cs.CV202111 cited

HiFT: Hierarchical Feature Transformer for Aerial Tracking

Ziang Cao, Changhong Fu, Junjie Ye +2

Most existing Siamese-based tracking methods execute the classification and regression of the target object based on the similarity maps. However, they either employ a single map f…

cs.CV20218 cited

SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking

Ziang Cao, Changhong Fu, Junjie Ye +2

Recently, the Siamese-based method has stood out from multitudinous tracking methods owing to its state-of-the-art (SOTA) performance. Nevertheless, due to various special challeng…

cs.CV20213 cited

ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking

Bowen Li, Changhong Fu, Fangqiang Ding +2

Prior correlation filter (CF)-based tracking methods for unmanned aerial vehicles (UAVs) have virtually focused on tracking in the daytime. However, when the night falls, the track…

cs.CV20212 cited

All-Day Object Tracking for Unmanned Aerial Vehicle

Bowen Li, Changhong Fu, Fangqiang Ding +2

Visual object tracking, which is representing a major interest in image processing field, has facilitated numerous real world applications. Among them, equipping unmanned aerial ve…