Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking

Benchmark Model Rank Results
rgb-t-tracking-on-lasherSeqTrackv2-L384#2Precision: 76.7Success: 61.0
rgb-t-tracking-on-lasherSeqTrackv2-L256#4Precision: 74.1Success: 58.8
rgb-t-tracking-on-lasherSeqTrackv2-B384#10Precision: 71.5Success: 56.2
rgb-t-tracking-on-lasherSeqTrackv2-B256#13Precision: 70.4Success: 55.8
rgb-t-tracking-on-rgbt234SeqTrackv2-L256#2Precision: 92.3Success: 68.5
rgb-t-tracking-on-rgbt234SeqTrackv2-L384#3Precision: 91.3Success: 68.0
rgb-t-tracking-on-rgbt234SeqTrackv2-B384#6Precision: 90.0Success: 66.3
rgb-t-tracking-on-rgbt234SeqTrackv2-B256#13Precision: 88.0Success: 64.7
visual-object-tracking-on-got-10kSeqTrack-L384#22Average Overlap: 74.8Success Rate 0.5: 81.9Success Rate 0.75: 72.2
visual-object-tracking-on-lasotSeqTrack-L384#18AUC: 72.5Normalized Precision: 81.5Precision: 79.3
visual-object-tracking-on-lasot-extSeqTrack-L384#15AUC: 50.7Normalized Precision: 61.6Precision: 57.5
visual-object-tracking-on-needforspeedSeqTrack-L384#9AUC: 0.662
visual-object-tracking-on-otb-2015SeqTrack-L384#12AUC: 0.683
visual-object-tracking-on-tnl2kSeqTrack-L384#13AUC: 57.8
visual-object-tracking-on-trackingnetSeqTrack-L384#12Accuracy: 85.5Normalized Precision: 89.8Precision: 85.8
visual-object-tracking-on-uav123SeqTrack-L384#12AUC: 0.685