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Facial Expression Recognition research benchmarks – Page 3 · SOTA2 Research

Facial Expression Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

AffectNet 2000 labels

54.91Accuracy

11

Feb 26, 2026

Covariance Pooling

79.4Mean Class Recall

11

Feb 26, 2026

96.67Accuracy

11

Feb 26, 2026

CK+ Eight Classes (10-fold cross val)

99.3Avg Accuracy

11

Feb 26, 2026

CK+ Six Classes (10-fold val)

98.6Accuracy

11

Feb 26, 2026

FER2013 HSN Kaggle (test)

2.3ECE (full)

10

Jul 7, 2026

43.14Accuracy

10

Mar 24, 2026

AffectNet (val)

61.6Accuracy

10

Jul 8, 2026

73mAP

10

Feb 26, 2026

FERPlus Pose > 45

92.58Accuracy

10

Feb 26, 2026

FERPlus Pose > 30

96.07Accuracy

10

Feb 26, 2026

CK+ (10-fold cross-val)

99.8Accuracy

10

Feb 26, 2026

FER Public 2013 (test)

72.05Accuracy

10

Feb 26, 2026

Oulu-CASIA Strong illumination VIS (test)

87.71Accuracy

10

Feb 26, 2026

BAH 214 source subjects (10 target subjects)

Supervised fine-tuning

96.2Accuracy (Sub-1)

9

Mar 11, 2026

BioVid (target subjects (10))

Supervised fine-tuning

92.22Accuracy (Sub-1)

9

Mar 11, 2026

CK+ extended (test)

The proposed algorithm

98Accuracy

9

Feb 26, 2026

90.55Accuracy

9

Feb 26, 2026

Oulu-CASIA (10-fold cross-validation)

84.59Avg Accuracy

9

Feb 26, 2026

CK+ Extended Cohn-Kanade

100Average Recognition Rate

9

Feb 26, 2026

0.648mAP

8

Feb 26, 2026

RAF-DB Occlusion

92.23Accuracy

8

Jun 9, 2026

TFD five folds (test)

88.9Average Accuracy

8

Feb 26, 2026

39.67UAR

7

Jun 30, 2026

63.88UAR

7

Jun 30, 2026

Page 3 of 5

Popular datasets

AffectNet CK+FERplus RAF-DB FER

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