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Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add locality-preserving loss to baseDCNN (ablation) | baseDCNN · RAF-DB basic expressions | mean diagonal (mSVM): 72.42 -> 74.20 | Helped |
| Add locality-preserving loss to baseDCNN (ablation) | baseDCNN · RAF-DB compound expressions | mean diagonal (mSVM): 40.17 -> 44.55 | Helped |
| Add locality-preserving loss to baseDCNN (ablation) | baseDCNN · RAF-DB basic expressions | mean diagonal (LDA): 69.00 -> 70.98 | Helped |
| Add locality-preserving loss to baseDCNN (ablation) | baseDCNN · RAF-DB compound expressions | mean diagonal (LDA): 28.23 -> 32.29 | Helped |
| Replace center loss with locality-preserving loss (ablation) | baseDCNN · RAF-DB basic expressions | mean diagonal (mSVM): 72.87 -> 74.20 | Helped |
| Replace center loss with locality-preserving loss (ablation) | baseDCNN · RAF-DB compound expressions | mean diagonal (mSVM): 39.97 -> 44.55 | Helped |
| Replace center loss with locality-preserving loss (ablation) | baseDCNN · RAF-DB basic expressions | mean diagonal (LDA): 69.86 -> 70.98 | Mixed |
| Replace center loss with locality-preserving loss (ablation) | baseDCNN · RAF-DB compound expressions | mean diagonal (LDA): 27.33 -> 32.29 | Helped |
| Use RAF-DB-trained DLP-CNN features without finetuning | DLP-CNN · CK+ | recognition performance: 93.70 -> 95.78 | Helped |
| Use RAF-DB-trained DLP-CNN features without finetuning | DLP-CNN · SFEW 2.0 | recognition performance: 52.5 -> 51.05 | Hurt |
Closest papers by meaning
- A Compact Embedding for Facial Expression Similarity (CVPR 2019 · similarity 0.88)
- When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework (AAAI 2022 · similarity 0.88)
- Multi-Label Compound Expression Recognition: C-EXPR Database & Network (CVPR 2023 · similarity 0.87)
- Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild (AAAI 2025 · similarity 0.85)
- Open-Set Facial Expression Recognition (AAAI 2024 · similarity 0.84)
- Navigating Label Ambiguity for Facial Expression Recognition in the Wild (AAAI 2025 · similarity 0.84)
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