Research map / Image generation / Editing and style transfer
Facial Expression Recognition by De-Expression Residue Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DeRL to learn expressive residue from the generator's intermediate layers | Facial expression recognition · CK+ | accuracy: 89.50 -> 97.30 | Helped |
| Use DeRL to learn expressive residue from the generator's intermediate layers | Facial expression recognition · Oulu-CASIA VIS | accuracy: 72.92 -> 88.0 | Helped |
| Use DeRL to learn expressive residue from the generator's intermediate layers | Facial expression recognition · MMI | accuracy: 57.00 -> 73.23 | Helped |
| Use DeRL to learn expressive residue from the generator's intermediate layers | Facial expression recognition · BU-3DFE | accuracy: 73.2 -> 84.17 | Helped |
| Use DeRL to learn expressive residue from the generator's intermediate layers | Facial expression recognition · BP4D+, train and test on BP4D+ | accuracy: 76.5 -> 81.39 | Helped |
| Use DeRL trained on BP4D for cross-dataset recognition | Facial expression recognition · BP4D to BP4D+ | accuracy: 76.5 -> 74.41 | Hurt |
| Add the local CNN-1 and CNN-2 intermediate-layer representations rather than relying on CNN-3 or CNN-4 (ablation) | DeRL · CK+, Oulu-CASIA, MMI, BU-3DFE, and BP4D+ | recognition rate | Helped |
Closest papers by meaning
- Joint Pose and Expression Modeling for Facial Expression Recognition (CVPR 2018 · similarity 0.86)
- Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition (CVPR 2021 · similarity 0.86)
- A Compact Embedding for Facial Expression Similarity (CVPR 2019 · similarity 0.86)
- Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method (ICLR 2026 · similarity 0.86)
- Open-Set Facial Expression Recognition (AAAI 2024 · similarity 0.85)
- Navigating Label Ambiguity for Facial Expression Recognition in the Wild (AAAI 2025 · similarity 0.84)
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