Towards Sequence-Level Training for Visual Tracking

Benchmark Model Rank Results
video-object-tracking-on-nv-vot211SLT-TransT#11AUC: 37.22Precision: 51.70
visual-object-tracking-on-got-10kSLT-TransT#31Average Overlap: 67.5Success Rate 0.5: 76.8Success Rate 0.75: 60.3
visual-object-tracking-on-lasotSLT-TransT#35AUC: 66.8Normalized Precision: 75.5
visual-object-tracking-on-trackingnetSLT-TransT#24Accuracy: 82.8Normalized Precision: 87.5Precision: 81.4