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Models/SeqTrack-L384

SeqTrack-L384

Reported on 32 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision32 results

Object TrackingonTNL2K
AUC· 2023-04-27
57.8
best: 65.3 (MCITrack-L384)
SOTA
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonTNL2K
AUC· 2023-04-27
57.8
best: 65.3 (MCITrack-L384)
SOTA
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonUAV123
AUC· 2023-04-27
0.685
best: 0.739 (LoRAT-g-378)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonLaSOT
AUC· 2023-04-27
72.5
best: 77.4 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonLaSOT
Normalized Precision· 2023-04-27
81.5
best: 86.6 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonLaSOT
Precision· 2023-04-27
79.3
best: 85 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonNeedForSpeed
AUC· 2023-04-27
0.662
best: 0.692 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonGOT-10k
Average Overlap· 2023-04-27
74.8
best: 81.7 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonGOT-10k
Success Rate 0.5· 2023-04-27
81.9
best: 92.2 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonGOT-10k
Success Rate 0.75· 2023-04-27
72.2
best: 82.3 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonLaSOT-ext
AUC· 2023-04-27
50.7
best: 61 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonLaSOT-ext
Normalized Precision· 2023-04-27
61.6
best: 73.9 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonLaSOT-ext
Precision· 2023-04-27
57.5
best: 72.2 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonTrackingNet
Accuracy· 2023-04-27
85.5
best: 87.9 (MCITrack-L384)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonTrackingNet
Normalized Precision· 2023-04-27
89.8
best: 92.1 (MCITrack-L384)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonTrackingNet
Precision· 2023-04-27
85.8
best: 89.2 (MCITrack-L384)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Object TrackingonOTB-2015
AUC· 2023-04-27
0.683
best: 0.727 (SPMTrack-B)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonUAV123
AUC· 2023-04-27
0.685
best: 0.739 (LoRAT-g-378)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonLaSOT
AUC· 2023-04-27
72.5
best: 77.4 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonLaSOT
Normalized Precision· 2023-04-27
81.5
best: 86.6 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonLaSOT
Precision· 2023-04-27
79.3
best: 85 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonNeedForSpeed
AUC· 2023-04-27
0.662
best: 0.692 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonGOT-10k
Average Overlap· 2023-04-27
74.8
best: 81.7 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonGOT-10k
Success Rate 0.5· 2023-04-27
81.9
best: 92.2 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonGOT-10k
Success Rate 0.75· 2023-04-27
72.2
best: 82.3 (SPMTrack-G)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonLaSOT-ext
AUC· 2023-04-27
50.7
best: 61 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonLaSOT-ext
Normalized Precision· 2023-04-27
61.6
best: 73.9 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonLaSOT-ext
Precision· 2023-04-27
57.5
best: 72.2 (SAMURAI-L)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonTrackingNet
Accuracy· 2023-04-27
85.5
best: 87.9 (MCITrack-L384)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonTrackingNet
Normalized Precision· 2023-04-27
89.8
best: 92.1 (MCITrack-L384)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonTrackingNet
Precision· 2023-04-27
85.8
best: 89.2 (MCITrack-L384)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394
Visual Object TrackingonOTB-2015
AUC· 2023-04-27
0.683
best: 0.727 (SPMTrack-B)
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking arXiv:2304.14394