Research map / Graph learning / Knowledge and temporal graphs
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add balanced loss (ablation) | VGG · BP4D | F1-score (Avg): 55.4 -> 59.1 | Helped |
| add balanced loss (ablation) | VGG · BP4D | AUC (Avg): 68.6 -> 71.5 | Helped |
| use independent regional feature learning (ablation) | VGG_BL · BP4D | F1-score (Avg): 59.1 -> 61.5 | Helped |
| use independent regional feature learning (ablation) | VGG_BL · BP4D | AUC (Avg): 71.5 -> 73.2 | Helped |
| add multiscale features (ablation) | SS_RL · BP4D | F1-score (Avg): 61.5 -> 62.0 | Helped |
| add multiscale features (ablation) | SS_RL · BP4D | AUC (Avg): 73.2 -> 73.6 | Helped |
| add GGNN propagation over the AU relationship graph (ablation) | MS_RL · BP4D | F1-score (Avg): 62.0 -> 62.9 | Helped |
| add GGNN propagation over the AU relationship graph (ablation) | MS_RL · BP4D | AUC (Avg): 73.6 -> 74.1 | Helped |
| add GGNN propagation over the AU relationship graph (ablation) | MS_RL · DISFA | F1-score (Avg): 53.0 -> 55.9 | Helped |
| add GGNN propagation over the AU relationship graph (ablation) | MS_RL · DISFA | AUC (Avg): 80.2 -> 80.7 | Helped |
Closest papers by meaning
- Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition (CVPR 2022 · similarity 0.92)
- Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection (CVPR 2021 · similarity 0.91)
- Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition (NeurIPS 2020 · similarity 0.91)
- Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution (AAAI 2020 · similarity 0.89)
- Weakly Supervised Facial Action Unit Recognition Through Adversarial Training (CVPR 2018 · similarity 0.89)
- AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement (CVPR 2024 · similarity 0.85)
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