10 papers
Dual-branch Distilled Transformer for Efficient Asymmetric UAV Tracking
Hongtao Yang, Bineng Zhong, Qihua Liang +4
Given the real-time demands of UAV tracking, many methods simplify the backbone to reduce computation, but this often weakens feature representation and degrades performance in com…
An Efficient Token Compression Framework for Visual Object Tracking
Weijing Wu, Qihua Liang, Bineng Zhong +3
Refining visual representations by eliminating their internal feature-level redundancy is crucial for simultaneously optimizing the performance and computational cost of models in…
Learning to Track Instance from Single Nature Language Description
Yaozong Zheng, Bineng Zhong, Qihua Liang +3
How to achieve vision-language (VL) tracking using natural language descriptions from a video sequence \textbf{without relying on any bounding-box ground truth}? In this work, we a…
Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning
Yaozong Zheng, Qihua Liang, Bineng Zhong +4
Learning robust contextual knowledge from unlabeled videos is essential for advancing self-supervised tracking. However, conventional self-supervised trackers lack effective contex…
Explicit Context Reasoning with Supervision for Visual Tracking
Fansheng Zeng, Bineng Zhong, Haiying Xia +4
Contextual reasoning with constraints is crucial for enhancing temporal consistency in cross-frame modeling for visual tracking. However, mainstream tracking algorithms typically a…
Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang +4
The success of visual tracking has been largely driven by datasets with manual box annotations. However, these box annotations require tremendous human effort, limiting the scale a…