Linker: Learning Long Short-term Associations for Robust Visual Tracking
Linker: Learning Long Short-term Associations for Robust Visual Tracking is a scholarly work, published in 2024 in ''IEEE Transactions on Multimedia''. The main subjects of the publication include artificial intelligence, phase, computer vision, biological robustness, linker, Multiple object tracking, machine learning, pattern recognition, and computer science. To address these issues, authors introduce a reference region within the authors' tracker.