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Models/DSCNet (RGB + Pose)

DSCNet (RGB + Pose)

Reported on 38 benchmarks across 9 tasks

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

Time Series12 results

  • Action DetectiononUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • Action DetectiononUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • Action DetectiononN-UCLA
    Accuracy
    99.1
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)
    97.4
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)
    99.4
    best: 99.6 (PoseC3D (RGB + Pose))
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    96.7
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    95.6
  • Action RecognitiononPKU-MMD
    X-Sub
    97.4
  • Action RecognitiononPKU-MMD
    X-View
    98.8
  • Action RecognitiononUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • Action RecognitiononUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • Action RecognitiononN-UCLA
    Accuracy
    99.1

Computer Vision11 results

  • VideoonUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • VideoonUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • VideoonN-UCLA
    Accuracy
    99.1
  • Temporal Action LocalizationonUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • Temporal Action LocalizationonUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • Temporal Action LocalizationonN-UCLA
    Accuracy
    99.1
  • Action LocalizationonUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • Action LocalizationonUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • Action LocalizationonN-UCLA
    Accuracy
    99.1
  • Action Recognition In VideosonPKU-MMD
    X-Sub
    97.4
  • Action Recognition In VideosonPKU-MMD
    X-View
    98.8

Robots9 results

  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)
    97.4
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)
    99.4
    best: 99.6 (PoseC3D (RGB + Pose))
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    96.7
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    95.6
  • Activity RecognitiononPKU-MMD
    X-Sub
    97.4
  • Activity RecognitiononPKU-MMD
    X-View
    98.8
  • Activity RecognitiononUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • Activity RecognitiononUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • Activity RecognitiononN-UCLA
    Accuracy
    99.1

Methodology3 results

  • Zero-Shot LearningonUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • Zero-Shot LearningonUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • Zero-Shot LearningonN-UCLA
    Accuracy
    99.1

Natural Language Processing3 results

  • 3D Action RecognitiononUAV-Human
    CSv1(%)
    47.3
    best: 47.96 (HDBN)
  • 3D Action RecognitiononUAV-Human
    CSv2(%)
    71.1
    best: 75.36 (HDBN)
  • 3D Action RecognitiononN-UCLA
    Accuracy
    99.1