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SAMM dataset and benchmarks · SOTA2 Research

Research Datasets

SAMM

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Micro-expression recognition

SAMM 3-class

91.75Unweighted F1 Score (UF1)

60

Micro-expression recognition

SAMM

88.35UF1

58

Micro-expression recognition

SAMM 5-class

88UF1 Score

55

Micro-expression Recognition

SAMM

74.7F1 Score (Micro)

22

Facial expression spotting

SAMM-LV

42.81ME F1-score

15

Micro-expression recognition

SAMM (LOSO)

81.31UF1

13

Micro-Expression Action Unit Detection

SAMM (LOSO)

70.6AU2 Score

12

Binary Classification

SAMM (original image reference gallery)

99.83AUC

7

Micro-expression Action Unit Detection

SAMM

73F1 Score

7

Micro-facial Expression Recognition

SAMM

73.29Top-1 Accuracy

6

Micro-expression recognition

SAMM 3-class protocol original (test)

73.3UAR

6

SAMM (original image reference gallery)

87.25Precision

6

Image Grounding

SAMM (original image reference gallery)

82.69IoU (m)

6

Multi-Label Classification

SAMM (original image reference gallery)

99.56mAP

6

3D Facial Reconstruction

SAMM

0.06L1 Loss

5

Micro-expression Recognition

SAMM

56.86Accuracy (ACC)

5

Popular tasks

Micro-expression recognition Micro-Expression Action Unit Detection Multi-Label Classification Binary Classification Text Grounding

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