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Action Recognition research benchmarks – Page 23 · SOTA2 Research

Action Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

EK100 (Cross-Subject)

44.6Top-1 Accuracy

7

Feb 26, 2026

ActivityNet 1.3 (val)

95.9Top-1 Accuracy

7

Feb 26, 2026

61Jaccard Accuracy

7

Feb 26, 2026

NTU-RGB+D 120 (60/60)

19.63Accuracy

7

Feb 26, 2026

NTU-RGB+D 120 (80/40)

0.284Accuracy

7

Feb 26, 2026

NTU-RGB+D 60 (30/30)

23.52Accuracy

7

Feb 26, 2026

96.51Accuracy (%)

7

Feb 26, 2026

Epic-Kitchens D3 -> D2

64Top-1 Accuracy

7

Feb 26, 2026

Epic-Kitchens D3 -> D1

57Top-1 Accuracy

7

Feb 26, 2026

Epic-Kitchens D2 -> D3

63.7Top-1 Accuracy

7

Feb 26, 2026

Epic-Kitchens D2 -> D1

57Top-1 Acc

7

Feb 26, 2026

Epic-Kitchens D1 -> D3

63.7Top-1 Acc

7

Feb 26, 2026

Epic-Kitchens D1 -> D2

64Top-1 Acc

7

Feb 26, 2026

Jester Js -> Jt

95.6Top-1 Acc

7

Feb 26, 2026

57.2Accuracy

7

Feb 26, 2026

71.37Acc (Gauss)

7

Feb 26, 2026

55.9Accuracy

7

Feb 26, 2026

NW-UCLA 40% labels (test)

82.8Accuracy

7

Feb 26, 2026

NW-UCLA 30% labels (test)

79.3Accuracy

7

Feb 26, 2026

NW-UCLA 5% labels (test)

67Accuracy

7

Feb 26, 2026

HMDB51 (1 x 25 stages)

42.65CNN Score

7

Feb 26, 2026

UCF101 (2 x 25 stages)

75.77CNN Performance Score

7

Feb 26, 2026

UCF101 (5 x 10 stages)

76.38CNN Score

7

Feb 26, 2026

UCF101 10 x 5 stages

78.13CNN Score

7

Feb 26, 2026

Kinetics-400 (val)

17.6Top-1 Acc (1% labels)

7

Feb 26, 2026

Page 23 of 32

Popular datasets

UCF101 HMDB Kinetics NTU RGB+D NTU

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