Improving Visual Object Tracking through Visual Prompting

Benchmark Model Rank Results
visual-object-tracking-on-avistPiVOT-L#1Success Rate: 62.2
visual-object-tracking-on-lasotPiVOT-L#13AUC: 73.4Normalized Precision: 84.7Precision: 82.1
visual-object-tracking-on-needforspeedPiVOT-L#3AUC: 0.682
visual-object-tracking-on-otb-2015PiVOT-L#6AUC: 0.712Precision: 0.946