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Models/DD-Net

DD-Net

Reported on 22 benchmarks across 10 tasks · 1 paper · 22 SOTA

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

Computer Vision12 results

  • VideoonJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • VideoonJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Temporal Action LocalizationonJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Temporal Action LocalizationonJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Action LocalizationonJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Action LocalizationonJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • HandonDHG-28
    Accuracy· 2019-07-23
    91.9
    best: 93.57 (DSTSA-GCN)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • HandonSHREC 2017 track on 3D Hand Gesture Recognition
    14 gestures accuracy· 2019-07-23
    94.6
    best: 73121216 (3DCNN_VIVA_4)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • HandonDHG-14
    Accuracy· 2019-07-23
    94.6
    best: 95.83 (e2eET)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Gesture RecognitiononDHG-28
    Accuracy· 2019-07-23
    91.9
    best: 93.57 (DSTSA-GCN)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Gesture RecognitiononSHREC 2017 track on 3D Hand Gesture Recognition
    14 gestures accuracy· 2019-07-23
    94.6
    best: 73121216 (3DCNN_VIVA_4)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Gesture RecognitiononDHG-14
    Accuracy· 2019-07-23
    94.6
    best: 95.83 (e2eET)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658

Time Series4 results

  • Action DetectiononJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Action DetectiononJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Action RecognitiononJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Action RecognitiononJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658

Methodology2 results

  • Zero-Shot LearningonJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Zero-Shot LearningonJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658

Robots2 results

  • Activity RecognitiononJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • Activity RecognitiononJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658

Natural Language Processing2 results

  • 3D Action RecognitiononJHMDB (2D poses only)
    Average accuracy of 3 splits· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658
  • 3D Action RecognitiononJ-HMDB
    Accuracy (pose)· 2019-07-23
    77.2
    best: 86.1 (HT-ConvNet)
    SOTA
    Make Skeleton-based Action Recognition Model Smaller, Faster and BetterarXiv:1907.09658