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Models/AiATrack

AiATrack

Reported on 30 benchmarks across 3 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 Vision30 results

  • Object TrackingonNeedForSpeed
    AUC· 2022-07-20
    0.679
    best: 0.692 (SAMURAI-L)
    SOTA
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonNeedForSpeed
    AUC· 2022-07-20
    0.679
    best: 0.692 (SAMURAI-L)
    SOTA
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • VideoonNT-VOT211
    AUC· 2022-07-20
    38.91
    best: 40.1 (ProContEXT)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • VideoonNT-VOT211
    Precision· 2022-07-20
    53.47
    best: 55.8 (ODTrack)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonCOESOT
    Precision Rate· 2022-07-20
    67.4
    best: 73.8 (HR-CEUTrack-Large)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonCOESOT
    Success Rate· 2022-07-20
    59
    best: 65 (HR-CEUTrack-Large)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonUAV123
    AUC· 2022-07-20
    0.706
    best: 0.739 (LoRAT-g-378)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonLaSOT
    AUC· 2022-07-20
    69
    best: 77.4 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonLaSOT
    Normalized Precision· 2022-07-20
    79.4
    best: 86.6 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonLaSOT
    Precision· 2022-07-20
    73.8
    best: 85 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonGOT-10k
    Average Overlap· 2022-07-20
    69.6
    best: 81.7 (SAMURAI-L)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonGOT-10k
    Success Rate 0.5· 2022-07-20
    80
    best: 92.2 (SAMURAI-L)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonGOT-10k
    Success Rate 0.75· 2022-07-20
    63.2
    best: 82.3 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonOTB-100
    AUC· 2022-07-20
    0.696
    best: 0.707 (DiMP-NCE+)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonTrackingNet
    Accuracy· 2022-07-20
    82.7
    best: 87.9 (MCITrack-L384)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonTrackingNet
    Normalized Precision· 2022-07-20
    87.8
    best: 92.1 (MCITrack-L384)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonTrackingNet
    Precision· 2022-07-20
    80.4
    best: 89.2 (MCITrack-L384)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonNT-VOT211
    AUC· 2022-07-20
    38.91
    best: 40.1 (ProContEXT)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Object TrackingonNT-VOT211
    Precision· 2022-07-20
    53.47
    best: 55.8 (ODTrack)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonUAV123
    AUC· 2022-07-20
    0.706
    best: 0.739 (LoRAT-g-378)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonLaSOT
    AUC· 2022-07-20
    69
    best: 77.4 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonLaSOT
    Normalized Precision· 2022-07-20
    79.4
    best: 86.6 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonLaSOT
    Precision· 2022-07-20
    73.8
    best: 85 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonGOT-10k
    Average Overlap· 2022-07-20
    69.6
    best: 81.7 (SAMURAI-L)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonGOT-10k
    Success Rate 0.5· 2022-07-20
    80
    best: 92.2 (SAMURAI-L)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonGOT-10k
    Success Rate 0.75· 2022-07-20
    63.2
    best: 82.3 (SPMTrack-G)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonOTB-100
    AUC· 2022-07-20
    0.696
    best: 0.707 (DiMP-NCE+)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonTrackingNet
    Accuracy· 2022-07-20
    82.7
    best: 87.9 (MCITrack-L384)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonTrackingNet
    Normalized Precision· 2022-07-20
    87.8
    best: 92.1 (MCITrack-L384)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603
  • Visual Object TrackingonTrackingNet
    Precision· 2022-07-20
    80.4
    best: 89.2 (MCITrack-L384)
    AiATrack: Attention in Attention for Transformer Visual TrackingarXiv:2207.09603