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Models/MixFormer-L

MixFormer-L

Reported on 21 benchmarks across 5 tasks · 1 paper · 12 SOTA

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

Computer Vision21 results

Object TrackingonLaSOT
Normalized Precision· 2022-03-21
79.9
best: 86.6 (SPMTrack-G)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonLaSOT
Precision· 2022-03-21
76.3
best: 85 (SPMTrack-G)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonGOT-10k
Average Overlap· 2022-03-21
75.6
best: 81.7 (SAMURAI-L)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonGOT-10k
Success Rate 0.5· 2022-03-21
85.73
best: 92.2 (SAMURAI-L)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonGOT-10k
Success Rate 0.75· 2022-03-21
72.8
best: 82.3 (SPMTrack-G)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonTrackingNet
Normalized Precision· 2022-03-21
88.9
best: 92.1 (MCITrack-L384)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonLaSOT
Normalized Precision· 2022-03-21
79.9
best: 86.6 (SPMTrack-G)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonLaSOT
Precision· 2022-03-21
76.3
best: 85 (SPMTrack-G)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonGOT-10k
Average Overlap· 2022-03-21
75.6
best: 81.7 (SAMURAI-L)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonGOT-10k
Success Rate 0.5· 2022-03-21
85.73
best: 92.2 (SAMURAI-L)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonGOT-10k
Success Rate 0.75· 2022-03-21
72.8
best: 82.3 (SPMTrack-G)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonTrackingNet
Normalized Precision· 2022-03-21
88.9
best: 92.1 (MCITrack-L384)
SOTA
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
VideoonVOT2020
EAO· 2022-03-21
0.555
best: 0.729 (DAM4SAM)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonLaSOT
AUC· 2022-03-21
70.1
best: 77.4 (SPMTrack-G)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonTrackingNet
Accuracy· 2022-03-21
83.9
best: 87.9 (MCITrack-L384)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Object TrackingonTrackingNet
Precision· 2022-03-21
83.1
best: 89.2 (MCITrack-L384)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Video Object SegmentationonVOT2020
EAO· 2022-03-21
0.555
best: 0.729 (DAM4SAM)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Semi-Supervised Video Object SegmentationonVOT2020
EAO· 2022-03-21
0.555
best: 0.729 (DAM4SAM)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonLaSOT
AUC· 2022-03-21
70.1
best: 77.4 (SPMTrack-G)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonTrackingNet
Accuracy· 2022-03-21
83.9
best: 87.9 (MCITrack-L384)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082
Visual Object TrackingonTrackingNet
Precision· 2022-03-21
83.1
best: 89.2 (MCITrack-L384)
MixFormer: End-to-End Tracking with Iterative Mixed Attention arXiv:2203.11082