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Models/ED-TCN

ED-TCN

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

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

Computer Vision8 results

  • Action LocalizationonGTEA
    Acc· 2016-11-16
    64
    best: 89.8 (Semantic2Graph)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action LocalizationonGTEA
    F1@10%· 2016-11-16
    72.2
    best: 96.1 (FACT)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action LocalizationonGTEA
    F1@25%· 2016-11-16
    69.3
    best: 95.6 (FACT)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action LocalizationonGTEA
    F1@50%· 2016-11-16
    56
    best: 91.3 (Semantic2Graph)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action SegmentationonGTEA
    Acc· 2016-11-16
    64
    best: 89.8 (Semantic2Graph)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action SegmentationonGTEA
    F1@10%· 2016-11-16
    72.2
    best: 96.1 (FACT)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action SegmentationonGTEA
    F1@25%· 2016-11-16
    69.3
    best: 95.6 (FACT)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267
  • Action SegmentationonGTEA
    F1@50%· 2016-11-16
    56
    best: 91.3 (Semantic2Graph)
    SOTA
    Temporal Convolutional Networks for Action Segmentation and DetectionarXiv:1611.05267