2 papers
cs.CV2025
Towards Universal Modal Tracking with Online Dense Temporal Token Learning
Yaozong Zheng, Bineng Zhong, Qihua Liang +4
We propose a universal video-level modality-awareness tracking model with online dense temporal token learning (called {\modaltracker}). It is designed to support various tracking…
cs.CV2024
MambaLCT: Boosting Tracking via Long-term Context State Space Model
Xiaohai Li, Bineng Zhong, Qihua Liang +3
Effectively constructing context information with long-term dependencies from video sequences is crucial for object tracking. However, the context length constructed by existing wo…