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Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use M3DFEL instead of NR-DFERNet | DFER · DFEW | WAR: 68.19 -> 69.25 | Helped |
| Use M3DFEL instead of NR-DFERNet | DFER · FERV39K | WAR: 45.97% -> 47.67% | Helped |
| Use 3D instances with bag size 4 instead of feeding the whole video as one instance (ablation) | M3DFEL · DFEW | WAR: 68.04% -> 69.25% | Helped |
| Set bag size to 2 rather than 4 (ablation) | M3DFEL · DFEW | WAR: 69.25% -> 68.55% | Hurt |
| Set bag size to 8 rather than 4 (ablation) | M3DFEL · DFEW | WAR: 69.25% -> 68.24% | Hurt |
| Set bag size to 16 rather than 4 (ablation) | M3DFEL · DFEW | WAR: 69.25% -> 66.36% | Hurt |
| Add DLIAM instead of average pooling (ablation) | M3DFEL · DFEW | WAR: 68.23 -> 69.25 | Helped |
| Add BiLSTM to DLIAM (ablation) | M3DFEL · DFEW | WAR: 68.63 -> 69.25 | Helped |
| Add DMIN (ablation) | M3DFEL · DFEW | WAR: 68.91 -> 69.25 | Helped |
| Add MHSA to DLIAM (ablation) | M3DFEL · DFEW | WAR: 69.13 -> 69.25 | Helped |
| Add MHSA to DLIAM (ablation) | M3DFEL · DFEW | UAR: 56.21 -> 56.10 | Hurt |
Closest papers by meaning
- Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild (AAAI 2023 · similarity 0.90)
- Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild (AAAI 2025 · similarity 0.89)
- D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition. (CVPR 2025 · similarity 0.88)
- OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem (AAAI 2025 · similarity 0.87)
- PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation (AAAI 2024 · similarity 0.85)
- Navigating Label Ambiguity for Facial Expression Recognition in the Wild (AAAI 2025 · similarity 0.84)
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