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Papers Benchmarks Datasets Tasks

Group Emotion Recognition research benchmarks · SOTA2 Research

Group Emotion Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

VE-MD + Wav2Vec 2.0

82.25Accuracy

19

Jun 9, 2026

VGAF 2023 (val)

79.24Accuracy

18

Jun 9, 2026

VE-MD-PersonQuery

90.06Accuracy

14

Jun 9, 2026

VGAF 2023 (test)

76.85Accuracy

11

Jun 9, 2026

Graph-based Prototype Network Subgraph

94.77Accuracy

2

Jun 9, 2026

Graph-based Prototype Network Subgraph

73.48Accuracy

1

Jun 9, 2026

Graph-based Prototype Network Subgraph

86.37Accuracy

1

Jun 9, 2026

Graph-based Prototype Network Subgraph

62.43Accuracy

1

Jun 9, 2026

Group and Scene Emotions

Hybrid multimodal fusion

97.9Accuracy

1

Jun 9, 2026

Hybrid multimodal fusion

78.99Accuracy

1

Jun 9, 2026

DenseNet 161 + SphereFace

64.83Accuracy

1

Jun 9, 2026

DenseNet 161 + SphereFace

80.9Accuracy

1

Jun 9, 2026

Popular datasets

GAF VGAF AFEW AffectNet Group and Scene Emotions

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