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Papers Benchmarks Datasets Tasks

3D Facial Expression Recognition research benchmarks · SOTA2 Research

3D Facial Expression Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

BU-3DFE (inference)

PointNet++ (Baseline)

78.9Accuracy

13

Mar 31, 2026

BU-3DFE (train)

PointNet++ (Baseline)

98.25Accuracy

9

Mar 31, 2026

pointcloud refinement pipeline

70.25Accuracy

7

Mar 31, 2026

AffectNet3D (train)

FLAME-based 3D pointcloud generation pipeline

58.4Accuracy

4

Mar 31, 2026

AffectNet3D (val)

FLAME-based 3D pointcloud generation pipeline

43.37Accuracy

4

Mar 31, 2026

Popular datasets

BU-3DFE AffectNet3D

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