Research map / Label-efficient and robust learning / Recognition and long-tail
Deep Region and Multi-Label Learning for Facial Action Unit Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DRML instead of JPML | AU detection · BP4D | F1-frame (Avg.): 45.9 -> 48.3 | Helped |
| Use DRML instead of LCN | AU detection · BP4D | AUC (Avg.): 54.4 -> 56.0 | Helped |
| Use DRML instead of LCN | AU detection · DISFA | F1-frame (Avg.): 24.0 -> 26.7 | Helped |
| Use DRML instead of AlexNet | AU detection · DISFA | AUC (Avg.): 49.1 -> 52.3 | Helped |
| Add the region layer to ConvNet (ablation) | DRML · BP4D, AU 1 | F1-frame: 40.4 -> 36.4 | Hurt |
| Add the region layer to ConvNet (ablation) | DRML · DISFA, AU 4 | F1-frame: 28.9 -> 37.4 | Helped |
Closest papers by meaning
- Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing (CVPR 2017 · similarity 0.92)
- Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition (CVPR 2022 · similarity 0.89)
- Facial Action Unit Detection With Transformers (CVPR 2021 · similarity 0.89)
- Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019 · similarity 0.88)
- Self-Supervised Facial Representation Learning with Facial Region Awareness (CVPR 2024 · similarity 0.86)
- Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond (AAAI 2024 · similarity 0.85)
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