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Models/H-RNN

H-RNN

Reported on 16 benchmarks across 8 tasks

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

Computer Vision6 results

  • VideoonNTU RGB+D
    Accuracy (CS)
    59.1
    best: 94.3 (Hulk(Finetune, ViT-L))
  • VideoonNTU RGB+D
    Accuracy (CV)
    64
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)
    59.1
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)
    64
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)
    59.1
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)
    64
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])

Time Series4 results

  • Action DetectiononNTU RGB+D
    Accuracy (CS)
    59.1
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action DetectiononNTU RGB+D
    Accuracy (CV)
    64
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)
    59.1
    best: 97.4 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)
    64
    best: 99.6 (PoseC3D (RGB + Pose))

Methodology2 results

  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)
    59.1
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)
    64
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])

Robots2 results

  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)
    59.1
    best: 97.4 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)
    64
    best: 99.6 (PoseC3D (RGB + Pose))

Natural Language Processing2 results

  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)
    59.1
    best: 94.3 (Hulk(Finetune, ViT-L))
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)
    64
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])