Academic project
Facial Action Unit Detection using ConvNeXt V2
Computer Vision Research Project · UiTM · 2026
- Problem
- Facial Action Unit Detection on DISFA.
- Approach
- Fine-tuned ConvNeXt V2 Base on DISFA with ImageNet-FCMAE pretraining, subject-disjoint three-fold cross-validation, and class-imbalance handling.
- Outcome
- Reported held-out means: 35.1% mean AU-F1 and 46.8% mean micro-F1.
- ConvNeXt V2 Base
- DISFA
- ImageNet-FCMAE

