Engagement Recognition on EngageNet
73.58AccuracyPriorNet
Evaluation Results
| Method | Links | |
|---|---|---|
| PriorNetPrinciple=Prior-guided2026.05 | 73.58 | |
| ST-GCNYear=20242026.04 | 71.24 | |
| Ordinal ST-GCNPrinciple=Ordinal graph2026.05 | 71.24 | |
| ST-GCNYear=2024, Ind. Features=true, Features=Facial landmarks2026.05 | 71.24 | |
| ST-GCNPrinciple=Graph-based2026.05 | 69.37 | |
| TransformerYear=20232026.04 | 69.1 | |
| TransformerPrinciple=Transformer-based2026.05 | 69.1 | |
| TransformerYear=2023, Ind. Features=true, Features=Gaze + Head Pose + AU2026.05 | 69.1 | |
| VE-MDYear=20262026.04 | 68.98 | |
| VE_MDYear=2025, Ind. Features=false, Features=Pred. Body+Face SR2026.05 | 68.98 | |
| TCCT-NetYear=20242026.04 | 68.91 | |
| TCCT-NetPrinciple=Hybrid temporal2026.05 | 68.91 | |
| TCCT-NetYear=2024, Ind. Features=true, Features=Head Pose2026.05 | 68.91 | |
| GLAMOR-NetYear=20242026.04 | 68.72 | |
| GLAMOR-NetYear=2024, Ind. Features=true, Features=Facial features2026.05 | 68.72 | |
| VLM-filteringPrinciple=VLM-assisted filtering2026.05 | 68.16 | |
| TCNPrinciple=Temporal features2026.05 | 67.79 | |
| LSTMPrinciple=Sequential features2026.05 | 67.69 | |
| CNN + LSTMPrinciple=Sequential features2026.05 | 67.51 | |
| TransformerYear=20232026.04 | 64.45 | |
| TransformerYear=2023, Ind. Features=true, Features=Gaze + Head Pose2026.05 | 64.45 | |
| EfficientNet + Bi-LSTMPrinciple=End-to-end2026.05 | 58.94 | |
| EfficientNet + LSTMPrinciple=End-to-end2026.05 | 57.57 | |
| TransformerYear=20232026.04 | 55.45 | |
| TransformerYear=2023, Ind. Features=true, Features=Gaze2026.05 | 55.45 | |
| ResNet + TCNPrinciple=End-to-end2026.05 | 54.72 |