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Models/SiamBAN-ACM

SiamBAN-ACM

Reported on 16 benchmarks across 3 tasks · 1 paper

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

Computer Vision16 results

VideoonNT-VOT211
AUC· 2020-12-04
35.8
best: 40.1 (ProContEXT)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
VideoonNT-VOT211
Precision· 2020-12-04
48.31
best: 55.8 (ODTrack)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonLaSOT
AUC· 2020-12-04
57.2
best: 77.4 (SPMTrack-G)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonLaSOT
Normalized Precision· 2020-12-04
65.3
best: 86.6 (SPMTrack-G)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonLaSOT
Precision· 2020-12-04
58.7
best: 85 (SPMTrack-G)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonTrackingNet
Accuracy· 2020-12-04
75.3
best: 87.9 (MCITrack-L384)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonTrackingNet
Normalized Precision· 2020-12-04
81
best: 92.1 (MCITrack-L384)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonTrackingNet
Precision· 2020-12-04
71.2
best: 89.2 (MCITrack-L384)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonNT-VOT211
AUC· 2020-12-04
35.8
best: 40.1 (ProContEXT)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Object TrackingonNT-VOT211
Precision· 2020-12-04
48.31
best: 55.8 (ODTrack)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Visual Object TrackingonLaSOT
AUC· 2020-12-04
57.2
best: 77.4 (SPMTrack-G)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Visual Object TrackingonLaSOT
Normalized Precision· 2020-12-04
65.3
best: 86.6 (SPMTrack-G)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Visual Object TrackingonLaSOT
Precision· 2020-12-04
58.7
best: 85 (SPMTrack-G)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Visual Object TrackingonTrackingNet
Accuracy· 2020-12-04
75.3
best: 87.9 (MCITrack-L384)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Visual Object TrackingonTrackingNet
Normalized Precision· 2020-12-04
81
best: 92.1 (MCITrack-L384)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776
Visual Object TrackingonTrackingNet
Precision· 2020-12-04
71.2
best: 89.2 (MCITrack-L384)
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers arXiv:2012.02776