6 papers · 1 filter
How Far are Modern Trackers from UAV-Anti-UAV? A Million-Scale Benchmark and New Baseline
Chunhui Zhang, Li Liu, Zhipeng Zhang +5
Unmanned Aerial Vehicles (UAVs) offer wide-ranging applications but also pose significant safety and privacy violation risks in areas like airport and infrastructure inspection, sp…
Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
Chunhui Zhang, Li Liu, Guanjie Huang +5
Over the past decade, significant progress has been made in visual object tracking, largely due to the availability of large-scale datasets. However, these datasets have primarily…
COST: Contrastive One-Stage Transformer for Vision-Language Small Object Tracking
Chunhui Zhang, Li Liu, Jialin Gao +5
Transformer has recently demonstrated great potential in improving vision-language (VL) tracking algorithms. However, most of the existing VL trackers rely on carefully designed me…
MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking
Chunhui Zhang, Li Liu, Hao Wen +2
Night unmanned aerial vehicle (UAV) tracking is impeded by the challenges of poor illumination, with previous daylight-optimized methods demonstrating suboptimal performance in low…
Awesome Multi-modal Object Tracking
Chunhui Zhang, Li Liu, Hao Wen +2
Multi-modal object tracking (MMOT) is an emerging field that combines data from various modalities, \eg vision (RGB), depth, thermal infrared, event, language and audio, to estimat…
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
Chunhui Zhang, Li Liu, Guanjie Huang +3
Underwater object tracking (UOT) is a foundational task for identifying and tracing submerged entities in underwater video sequences. However, current UOT datasets suffer from limi…