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Papers Benchmarks Datasets Tasks

Skeleton-based Action Recognition research benchmarks – Page 3 · SOTA2 Research

Skeleton-based Action Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Northwestern-UCLA (N-UCLA) third camera (test)

Action Capsules

97.3Top-1 Acc

7

Feb 26, 2026

NTU Without Occlusion 60

74.19Accuracy

7

Feb 26, 2026

NTU-60 Scenario (A) Without Occlusion

74.19Accuracy

7

Feb 26, 2026

Kinetics-400 (360/40)

52.3Top-1 Accuracy

6

May 13, 2026

Kinetics 200 (120/80)

26.4Top-1 Acc

6

May 13, 2026

Kinetics-200 (140 60)

28.6Top-1 Accuracy

6

May 13, 2026

Kinetics 200 (160/40)

38.3Top-1 Accuracy

6

May 13, 2026

NTU-120 (100 seen / 20 unseen)

0.698Accuracy

6

Feb 26, 2026

NTU-60 (50 seen / 10 unseen)

83.8Accuracy

6

Feb 26, 2026

NTU-120 PURLS split protocol (60/60)

27.21Top-1 Accuracy

6

Feb 26, 2026

NTU-120 PURLS split protocol (80/40)

36.95Top-1 Accuracy

6

Feb 26, 2026

NTU-60 PURLS split protocol (30/30)

25.88Top-1 Accuracy

6

Feb 26, 2026

NTU-60 PURLS split protocol (40/20)

36.09Top-1 Acc

6

Feb 26, 2026

40.25Top-1 Accuracy

5

Apr 13, 2026

NTU-Hand 27 X-Set

93.1Accuracy

5

Feb 26, 2026

NTU-Hand 27 (X-Sub)

0.917Accuracy

5

Feb 26, 2026

NTU-Hand 11 (X-View)

98.6Accuracy

5

Feb 26, 2026

NTU-Hand 11 (X-Sub)

96.1Accuracy

5

Feb 26, 2026

Kinetics-skeleton v1 (val)

35.1Top-1 Accuracy

5

Feb 26, 2026

520FPS

3

Mar 23, 2026

NTU-60 (unseen)

61.02Accuracy

2

Feb 26, 2026

Page 3 of 3

Popular datasets

NTU NTU RGB+D Kinetics PKU-MMD NTU-Hand

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