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Action Recognition research benchmarks – Page 17 · SOTA2 Research

Action Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Chinese University of Hong Kong (CUHK) (external val)

32.92Accuracy

11

Mar 16, 2026

87.5Accuracy

11

Mar 10, 2026

54.33AURC

11

Mar 4, 2026

115.03AURC

11

Mar 4, 2026

36.52AURC

11

Mar 4, 2026

78.1Top-1 Accuracy

11

Feb 26, 2026

Florence3D-Action

97.45Accuracy

11

Feb 26, 2026

Daily-DA 8 classes (test)

Hierarchical Bayesian Framework

56.27Accuracy (A)

11

Feb 26, 2026

NTU cross-subject 60

Decomposition and Composition

57.9Acc (1% Labels)

11

Feb 26, 2026

54.51Clean Accuracy

11

Feb 26, 2026

THU-EACT-50-CHL

HoloEv-Net-Base

69.85Top-1 Accuracy

11

Feb 26, 2026

Heterogeneous Skeleton-Based Action Representation Learning

76.3Top-1 Acc (5% Labels)

11

Feb 26, 2026

MMNet (Inception-v3)

92.9Top-1 Accuracy (XSub)

11

Feb 26, 2026

Kinetics-skeleton 200 (180/20)

55.6Top-1 Accuracy

11

May 13, 2026

87.26Top-1 Acc

11

Feb 26, 2026

DVSGesture (full)

98.96Accuracy

11

Feb 26, 2026

Moments in Time V1 (val)

48.7Top-1 Acc

11

Feb 26, 2026

Kinetics-Sounds (test)

91.44Top-1 Accuracy

11

Feb 26, 2026

88.36Mean Per-Class Accuracy

11

Feb 26, 2026

74.3Accuracy

11

Apr 7, 2026

Diving48 v1 (noisy) (test)

44.7Per-video Accuracy

11

Feb 26, 2026

Kinetics-700 (test)

84.8Accuracy

11

Feb 26, 2026

HMDB51 half test classes

51.8Accuracy

11

Feb 26, 2026

EPIC-Kitchens S2 unseen 2019 (test)

AssembleNet++ ODF+SDF

59Top-1 Verb Acc

11

Feb 26, 2026

EPIC-KITCHENS S2 (test)

55.8Top-1 Verb Accuracy

11

Feb 26, 2026

Page 17 of 32

Popular datasets

UCF101 HMDB Kinetics NTU RGB+D NTU

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