Research map / Detection and segmentation / CNN features
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DAC-CSR instead of CCL | facial landmark detection · AFLW-full | average error: 2.72% -> 2.27% | Helped |
| Use DAC-CSR instead of CCL | facial landmark detection · AFLW-frontal | average error: 2.17% -> 1.81{ }% | Helped |
| Use DAC-CSR instead of RAR | facial landmark detection · COFW | error: 6.03% -> 6.03% | No clear effect |
| Use DAC-CSR instead of RAR | facial landmark detection · COFW | failure rate: 4.14% -> 4.73% | Hurt |
| Use DAC-CSR instead of RAR | facial landmark detection · COFW | speed: 4 (GPU) -> 10 | Helped |
| Add the DAC-CSR architecture to classical CSR (ablation) | facial landmark detection · COFW | average error | Helped |
| Add 2D-synthesised profile-face augmentation (ablation) | classical CSR · COFW | average error | Helped |
| Combine DAC-CSR with 2D-synthesised profile-face augmentation (ablation) | facial landmark detection · COFW | average error | Helped |
Closest papers by meaning
- Towards Accurate Facial Landmark Detection via Cascaded Transformers (CVPR 2022 · similarity 0.88)
- Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network (AAAI 2018 · similarity 0.88)
- Self-Reinforced Cascaded Regression for Face Alignment (AAAI 2018 · similarity 0.88)
- Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection (CVPR 2016 · similarity 0.87)
- A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection (CVPR 2017 · similarity 0.87)
- Generalizable Face Landmarking Guided by Conditional Face Warping (CVPR 2024 · similarity 0.84)
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