Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

Benchmark Model Rank Results
object-tracking-on-coesotOSTrack#9Success Rate: 59.0Precision Rate: 66.6
video-object-tracking-on-nv-vot211OSTrack-384#8AUC: 38.59Precision: 53.06
visual-object-tracking-on-got-10kOSTrack-384#23Average Overlap: 73.7Success Rate 0.5: 83.2Success Rate 0.75: 70.8
visual-object-tracking-on-lasotOSTrack-384#24AUC: 71.1Normalized Precision: 81.1Precision: 77.6
visual-object-tracking-on-lasot-extOSTrack#16AUC: 50.6Normalized Precision: 61.3Precision: 57.6
visual-object-tracking-on-trackingnetOSTrack-384#20Accuracy: 83.9Normalized Precision: 88.5Precision: 83.2
visual-object-tracking-on-uav123OSTrack -384#7AUC: 0.707
visual-tracking-on-tnl2kOSTrack#4AUC: 55.9