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Models/DropTrack

DropTrack

Reported on 20 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision20 results

Object TrackingonTNL2K
AUC· 2023-04-02
56.9
best: 65.3 (MCITrack-L384)
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonTNL2K
precision· 2023-04-02
57.9
best: 70.6 (SPMTrack-G)
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonITB
AUC· 2023-04-02
0.65
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonTrackingNet
AUC· 2023-04-02
0.841
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonTNL2K
AUC· 2023-04-02
56.9
best: 65.3 (MCITrack-L384)
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonTNL2K
precision· 2023-04-02
57.9
best: 70.6 (SPMTrack-G)
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonITB
AUC· 2023-04-02
0.65
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonTrackingNet
AUC· 2023-04-02
0.841
SOTA
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonLaSOT
AUC· 2023-04-02
71.8
best: 77.4 (SPMTrack-G)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonLaSOT
Normalized Precision· 2023-04-02
81.8
best: 86.6 (SPMTrack-G)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonLaSOT
Precision· 2023-04-02
78.1
best: 85 (SPMTrack-G)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonLaSOT-ext
AUC· 2023-04-02
52.7
best: 61 (SAMURAI-L)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonLaSOT-ext
Precision· 2023-04-02
60.2
best: 72.2 (SAMURAI-L)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Object TrackingonTrackingNet
Normalized Precision· 2023-04-02
88.9
best: 92.1 (MCITrack-L384)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonLaSOT
AUC· 2023-04-02
71.8
best: 77.4 (SPMTrack-G)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonLaSOT
Normalized Precision· 2023-04-02
81.8
best: 86.6 (SPMTrack-G)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonLaSOT
Precision· 2023-04-02
78.1
best: 85 (SPMTrack-G)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonLaSOT-ext
AUC· 2023-04-02
52.7
best: 61 (SAMURAI-L)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonLaSOT-ext
Precision· 2023-04-02
60.2
best: 72.2 (SAMURAI-L)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571
Visual Object TrackingonTrackingNet
Normalized Precision· 2023-04-02
88.9
best: 92.1 (MCITrack-L384)
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks arXiv:2304.00571