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Models/SLT-TransT

SLT-TransT

Reported on 20 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 Vision20 results

  • VideoonNT-VOT211
    AUC· 2022-08-11
    37.22
    best: 40.1 (ProContEXT)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • VideoonNT-VOT211
    Precision· 2022-08-11
    51.7
    best: 55.8 (ODTrack)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonLaSOT
    AUC· 2022-08-11
    66.8
    best: 77.4 (SPMTrack-G)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonLaSOT
    Normalized Precision· 2022-08-11
    75.5
    best: 86.6 (SPMTrack-G)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonGOT-10k
    Average Overlap· 2022-08-11
    67.5
    best: 81.7 (SAMURAI-L)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonGOT-10k
    Success Rate 0.5· 2022-08-11
    76.8
    best: 92.2 (SAMURAI-L)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonGOT-10k
    Success Rate 0.75· 2022-08-11
    60.3
    best: 82.3 (SPMTrack-G)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonTrackingNet
    Accuracy· 2022-08-11
    82.8
    best: 87.9 (MCITrack-L384)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonTrackingNet
    Normalized Precision· 2022-08-11
    87.5
    best: 92.1 (MCITrack-L384)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonTrackingNet
    Precision· 2022-08-11
    81.4
    best: 89.2 (MCITrack-L384)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonNT-VOT211
    AUC· 2022-08-11
    37.22
    best: 40.1 (ProContEXT)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Object TrackingonNT-VOT211
    Precision· 2022-08-11
    51.7
    best: 55.8 (ODTrack)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonLaSOT
    AUC· 2022-08-11
    66.8
    best: 77.4 (SPMTrack-G)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonLaSOT
    Normalized Precision· 2022-08-11
    75.5
    best: 86.6 (SPMTrack-G)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonGOT-10k
    Average Overlap· 2022-08-11
    67.5
    best: 81.7 (SAMURAI-L)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonGOT-10k
    Success Rate 0.5· 2022-08-11
    76.8
    best: 92.2 (SAMURAI-L)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonGOT-10k
    Success Rate 0.75· 2022-08-11
    60.3
    best: 82.3 (SPMTrack-G)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonTrackingNet
    Accuracy· 2022-08-11
    82.8
    best: 87.9 (MCITrack-L384)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonTrackingNet
    Normalized Precision· 2022-08-11
    87.5
    best: 92.1 (MCITrack-L384)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810
  • Visual Object TrackingonTrackingNet
    Precision· 2022-08-11
    81.4
    best: 89.2 (MCITrack-L384)
    Towards Sequence-Level Training for Visual TrackingarXiv:2208.05810