Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning

Benchmark Model Rank Results
visual-object-tracking-on-got-10kPNTrack-256–Average Overlap: 69.0Success Rate 0.5: 79.1Success Rate 0.75: 62.7
visual-object-tracking-on-got-10kPNTrack-384–Average Overlap: 72.7Success Rate 0.5: 83.4Success Rate 0.75: 69.9
visual-object-tracking-on-lasotPNTrack-256–AUC: 65.9Normalized Precision: 76.3Precision: 70.2
visual-object-tracking-on-lasotPNTrack-384–AUC: 67.1Normalized Precision: 77.3Precision: 71.9
visual-object-tracking-on-trackingnetPNTrack-256–Accuracy: 80.4Normalized Precision: 86.7Precision: 77.8
visual-object-tracking-on-trackingnetPNTrack-384–Accuracy: 81.8Normalized Precision: 87.4Precision: 79.7