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Action Recognition research benchmarks – Page 30 · SOTA2 Research

Action Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

72.6Top-1 Accuracy

3

Apr 6, 2026

CHIRP 1.0 (test)

48.5Peck Precision

3

Mar 27, 2026

67.5Precision

3

Mar 27, 2026

25.9Random Accuracy

3

Mar 25, 2026

MSP (Base Strategy)

87.23ID Accuracy

3

Mar 4, 2026

UCF101 severe temporal corruption (test)

63.8Top-1 Acc

3

Feb 26, 2026

UCF101 moderate temporal corruption (test)

63.8Top-1 Acc

3

Feb 26, 2026

UCF101 minor temporal corruption (test)

65.2Top-1 Accuracy

3

Feb 26, 2026

50.34Accuracy (US-Minn.)

3

Feb 26, 2026

Assembly101-OV (HM)

50.5Verb Top-1 Acc

3

Feb 26, 2026

Assembly101 OV (Novel)

45.1Verb Top-1 Acc

3

Feb 26, 2026

Assembly101-OV (Closed)

57.6Verb Top-1 Acc

3

Feb 26, 2026

EPIC100-OV (HM)

50.3Verb Top-1 Acc

3

Feb 26, 2026

EPIC100-OV (Novel)

0.414Verb Top-1 Acc

3

Feb 26, 2026

EPIC100 OV Closed

64.1Verb Top-1 Acc

3

Feb 26, 2026

UCF101 Base-to-New Generalization

84.69Base Class Accuracy

3

Feb 26, 2026

33.7Mean Accuracy

3

Feb 26, 2026

2.4Avg Performance Difference

3

Feb 26, 2026

2.6Avg Performance Difference

3

Feb 26, 2026

76.8mAP

3

Feb 26, 2026

UCF101 (S1, S2, S3, Mean)

51.8Top-1 Accuracy (S1)

3

Feb 26, 2026

HMDB51 (S1, S2, S3, Mean)

38.4Top-1 Acc (S1)

3

Feb 26, 2026

53.1Top-1 Acc

3

Feb 26, 2026

53.8Top-1 Accuracy

3

Feb 26, 2026

54.3Top-1 Accuracy

3

Feb 26, 2026

Page 30 of 32

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UCF101 HMDB Kinetics NTU RGB+D NTU

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