Research map / 3D vision / Human pose estimation
FDN: Feature Decoupling Network for Head Pose Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add feature decoupling (FD) module (ablation) | FDN baseline · AFLW2000 | MAE (degrees): 4.65 -> 4.56 | Helped |
| add feature decoupling (FD) module (ablation) | FDN baseline · BIWI | MAE (degrees): 3.63 -> 3.45 | Helped |
| add cross-category center (CCC) loss (ablation) | FDN with FD module · AFLW2000 | MAE (degrees): 4.56 -> 4.42 | Helped |
| add cross-category center (CCC) loss (ablation) | FDN with FD module · BIWI | MAE (degrees): 3.45 -> 3.29 | Helped |
| use inverted residual backbone instead of ResNet18 (ablation) | FDN · BIWI | MAE (degrees): 4.02 -> 3.29 | Helped |
| FDN vs FSA-Net | FSA-Net · AFLW2000 | MAE (degrees): 5.07 -> 4.42 | Helped |
| FDN vs FSA-Net | FSA-Net · BIWI protocol 2 | MAE (degrees): 3.60 -> 3.29 | Helped |
| FDN vs FSA-Net on BIWI protocol 1 yaw | FSA-Net · BIWI protocol 1 | yaw error (degrees): 4.27 -> 4.52 | Hurt |
Closest papers by meaning
- FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image (CVPR 2019 · similarity 0.87)
- FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism (CVPR 2021 · similarity 0.86)
- Neural Head Reenactment with Latent Pose Descriptors (CVPR 2020 · similarity 0.85)
- Towards Pose Invariant Face Recognition in the Wild (CVPR 2018 · similarity 0.85)
- Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network (CVPR 2017 · similarity 0.85)
- CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image (CVPR 2025 · similarity 0.83)
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