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Emotion Recognition research benchmarks – Page 7 · SOTA2 Research

Emotion Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

35.91Joy

3

Feb 26, 2026

Cross-domain (test)

Multi-Agent Emotion-to-Response System

61.4Accuracy

3

Feb 26, 2026

Synthetic (test)

Multi-Agent Emotion-to-Response System

89.3Accuracy

3

Feb 26, 2026

BoLD official (test)

TSN-RGB + TSN-Flow + ST-GCN Ensemble

0.16mR2

3

Feb 26, 2026

FMENet + ResNet-18 classifier

74.15Positive Class Accuracy

2

Jul 7, 2026

EDM-guided alternating training

75.07Accuracy

2

Mar 20, 2026

CREMA-D subset (test)

EDM-guided alternating training

58.87Accuracy

2

Mar 20, 2026

Multi-Agent Emotion-to-Response System

75.1Accuracy

2

Feb 26, 2026

AFEW EmotiW 2019 (val)

65.5Accuracy

2

Feb 26, 2026

FER Ravedess Savee Tess Local Data 2013

95.7Accuracy

1

May 29, 2026

Page 7 of 7

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