5 papers · 1 filter
AnyTrack: Unifying Visual Object Tracking with Any Modalities
Hao Li, Yunzhi Zhuge, Wenning Hao +4
Visual object tracking aims to continuously locate specific targets within sequential frames, evolving from single-modal methods to multi-modal ones. However, existing multi-modal…
RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation
Hao Li, Yuhao Wang, Wenning Hao +3
RGB-Thermal (RGBT) tracking aims to achieve robust object localization across diverse environmental conditions by fusing visible and thermal infrared modalities. However, existing…
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
Hao Li, Yuhao Wang, Xiantao Hu +4
RGB-Thermal (RGBT) tracking aims to exploit visible and thermal infrared modalities for robust all-weather object tracking. However, existing RGBT trackers struggle to resolve moda…
What Makes You Unique? Attribute Prompt Composition for Object Re-Identification
Yingquan Wang, Pingping Zhang, Chong Sun +2
Object Re-IDentification (ReID) aims to recognize individuals across non-overlapping camera views. While recent advances have achieved remarkable progress, most existing models are…
MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking
Simiao Lai, Chang Liu, Jiawen Zhu +4
Existing RGB-T tracking algorithms have made remarkable progress by leveraging the global interaction capability and extensive pre-trained models of the Transformer architecture. N…