3D Facial Expression Recognition on BU-3DFE (inference)
78.9AccuracyPointNet++ (Baseline)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PointNet++ (Baseline)Used part of BU-3DFE (%)=80, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=None, Fine-tuning=False2026.03 | 78.9 | 162 | |
| PointNet++ (Baseline)Used part of BU-3DFE (%)=80, Point cloud configuration (Full vs 512 points)=Full, Pre-training dataset=None, Fine-tuning=False2026.03 | 74.02 | 198 | |
| pointcloud refinement pipelineUsed part of BU-3DFE (%)=25, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=Refined AffectNet3D, Fine-tuning=True2026.03 | 70.64 | 1,764 | |
| FLAME-based 3D pointcloud generation pipelineUsed part of BU-3DFE (%)=25, Point cloud configuration (Full vs 512 points)=Full, Pre-training dataset=Raw AffectNet3D, Fine-tuning=True2026.03 | 69.76 | 2,040 | |
| pointcloud refinement pipelineUsed part of BU-3DFE (%)=10, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=Refined AffectNet3D, Fine-tuning=True2026.03 | 58.52 | 1,764 | |
| PointNet++ (Baseline)Used part of BU-3DFE (%)=25, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=None, Fine-tuning=False2026.03 | 49.12 | 8 | |
| PointNet++ (Baseline)Used part of BU-3DFE (%)=25, Point cloud configuration (Full vs 512 points)=Full, Pre-training dataset=None, Fine-tuning=False2026.03 | 45.57 | 10 | |
| PointNet++ (Baseline)Used part of BU-3DFE (%)=10, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=None, Fine-tuning=False2026.03 | 42.83 | 4 | |
| PointNet++ (Baseline)Used part of BU-3DFE (%)=10, Point cloud configuration (Full vs 512 points)=Full, Pre-training dataset=None, Fine-tuning=False2026.03 | 37.34 | 4.5 | |
| FLAME-based 3D pointcloud generation pipelineUsed part of BU-3DFE (%)=0, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=Raw AffectNet3D, Fine-tuning=False2026.03 | 16.76 | 1,764 | |
| pointcloud refinement pipelineUsed part of BU-3DFE (%)=0, Point cloud configuration (Full vs 512 points)=Full, Pre-training dataset=Refined AffectNet3D, Fine-tuning=False2026.03 | 16.12 | 447 | |
| FLAME-based 3D pointcloud generation pipelineUsed part of BU-3DFE (%)=0, Point cloud configuration (Full vs 512 points)=Full, Pre-training dataset=Raw AffectNet3D, Fine-tuning=False2026.03 | 15.57 | 2,040 | |
| pointcloud refinement pipelineUsed part of BU-3DFE (%)=0, Point cloud configuration (Full vs 512 points)=512, Pre-training dataset=Refined AffectNet3D, Fine-tuning=False2026.03 | 14.21 | 396 |