Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation

Benchmark Model Rank Results
visual-object-tracking-on-got-10kMITS#4Average Overlap: 80.4Success Rate 0.5: 89.8Success Rate 0.75: 75.8
visual-object-tracking-on-lasotMITS#22AUC: 72.0Normalized Precision: 80.1Precision: 78.5
visual-object-tracking-on-trackingnetMITS#22Accuracy: 83.4Normalized Precision: 88.9Precision: 84.6