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Models/PSTNet++

PSTNet++

Reported on 14 benchmarks across 7 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
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • VideoonNTU RGB+D
    Cross View Accuracy
    96.7
  • Temporal Action LocalizationonNTU RGB+D
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • Temporal Action LocalizationonNTU RGB+D
    Cross View Accuracy
    96.7
  • Action LocalizationonNTU RGB+D
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • Action LocalizationonNTU RGB+D
    Cross View Accuracy
    96.7

Methodology2 results

  • Zero-Shot LearningonNTU RGB+D
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • Zero-Shot LearningonNTU RGB+D
    Cross View Accuracy
    96.7

Robots2 results

  • Activity RecognitiononNTU RGB+D
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • Activity RecognitiononNTU RGB+D
    Cross View Accuracy
    96.7

Natural Language Processing2 results

  • 3D Action RecognitiononNTU RGB+D
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • 3D Action RecognitiononNTU RGB+D
    Cross View Accuracy
    96.7

Time Series2 results

  • Action RecognitiononNTU RGB+D
    Cross Subject Accuracy
    91.4
    best: 92.3 (Kinet)
  • Action RecognitiononNTU RGB+D
    Cross View Accuracy
    96.7