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Benchmarks
Fine-grained action recognition on MTL-AQA
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99.79
Accuracy (Armstand)
NS-AQA
97.3564
97.9882
98.62
99.2518
Mar 20, 2024
Accuracy (Armstand)
Accuracy (Rotation Type)
Accuracy (Position)
Accuracy (No. of SS)
Accuracy (No. of TW)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy (Armstand)
Accuracy (Rotation Type)
Accuracy (Position)
Accuracy (No. of SS)
Accuracy (No. of TW)
NS-AQA
2024.03
99.79
99.37
97.28
97.31
93.27
C3D-MTL
2024.03
99.72
97.45
96.32
96.88
93.2
Nibali et al.
2024.03
98.3
78.75
74.79
77.34
79.89
MSCADC
2024.03
97.45
84.7
78.47
76.2
82.72
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