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Models/OTAM

OTAM

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Robots4 results

  • Activity RecognitiononKinetics-100
    Accuracy· 2019-06-27
    85.8
    best: 94.7 (Name Tuning)
    SOTA
    Few-Shot Video Classification via Temporal AlignmentarXiv:1906.11415
  • Activity RecognitiononSomething-Something-100
    1:1 Accuracy· 2019-06-27
    52.3
    best: 69 (HyRSM)
    SOTA
    Few-Shot Video Classification via Temporal AlignmentarXiv:1906.11415
  • Activity RecognitiononMOMA-LRG
    Activity Classification Accuracy (5-shot 5-way)
    92.07
    best: 97.9 (Name Tuning)
  • Activity RecognitiononMOMA-LRG
    Subactivity Classification Accuracy (5-shot 5-way)
    72.59
    best: 78.2 (Name Tuning)

Time Series4 results

  • Action RecognitiononKinetics-100
    Accuracy· 2019-06-27
    85.8
    best: 94.7 (Name Tuning)
    SOTA
    Few-Shot Video Classification via Temporal AlignmentarXiv:1906.11415
  • Action RecognitiononSomething-Something-100
    1:1 Accuracy· 2019-06-27
    52.3
    best: 69 (HyRSM)
    SOTA
    Few-Shot Video Classification via Temporal AlignmentarXiv:1906.11415
  • Action RecognitiononMOMA-LRG
    Activity Classification Accuracy (5-shot 5-way)
    92.07
    best: 97.9 (Name Tuning)
  • Action RecognitiononMOMA-LRG
    Subactivity Classification Accuracy (5-shot 5-way)
    72.59
    best: 78.2 (Name Tuning)