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NW-UCLA

Benchmarks

Task NameDataset NameSOTA ResultTrend
Action RecognitionNW-UCLA
Top-1 Acc98.3
107
Skeleton-based Action RecognitionNW-UCLA
Accuracy96.8
44
Action RecognitionNW-UCLA 15% labels (test)
Accuracy78.2
8
Action RecognitionNW-UCLA 40% labels (test)
Accuracy82.8
7
Action RecognitionNW-UCLA 30% labels (test)
Accuracy79.3
7
Action RecognitionNW-UCLA 5% labels (test)
Accuracy67
7
Skeleton Action RecognitionNW-UCLA 20 joints
Accuracy94.2
3
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