Research map / Graph learning / Graph self-supervised learning
Uncertain Graph Neural Networks for Facial Action Unit Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use UGN-B instead of SRERL | AU detection · BP4D | F1-score: 62.9 -> 63.3 | Helped |
| Use UGN-B instead of JAA | AU detection · BP4D | Accuracy: 78.4 -> 78.2 | Hurt |
| Use UGN-B instead of ARL | AU detection · DISFA | F1-score: 58.7 -> 60.0 | Helped |
| Use UGN-B instead of ARL | AU detection · DISFA | Accuracy: 93.3 -> 93.4 | Helped |
| Add the adaptive weighted loss based on epistemic uncertainty (ablation) | UGN on BP4D · BP4D | F1-score: 63.0 -> 63.3 | Helped |
| Add the adaptive weighted loss based on epistemic uncertainty (ablation) | UGN on BP4D · BP4D | Accuracy: 77.7 -> 78.2 | Helped |
| Use a probabilistic graph instead of a deterministic graph (ablation) | AU detection on BP4D · BP4D | F1-score: 62.6 -> 63.0 | Helped |
| Use a probabilistic graph instead of a deterministic graph (ablation) | AU detection on BP4D · BP4D | Accuracy: 77.7 -> 77.7 | No clear effect |
Closest papers by meaning
- Breaking Spurious Correlations: Uncertainty-Driven Causal Transformers for AU Detection (CVPR 2026 · similarity 0.90)
- Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation (CVPR 2021 · similarity 0.90)
- Classifier Learning With Prior Probabilities for Facial Action Unit Recognition (CVPR 2018 · similarity 0.88)
- Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition (NeurIPS 2020 · similarity 0.88)
- Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition (AAAI 2019 · similarity 0.87)
- Dual Semi-Supervised Learning for Facial Action Unit Recognition (AAAI 2019 · similarity 0.86)
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