Peixi Yu

Boosting Representation Learning for High-Level Semantic Information in Facial Expression Recognition

Facial expression recognition (FER) requires high-level semantic cues to interpret abstract emotions. However, existing FER approaches commonly suffer from sparse semantic descriptions and unwanted noise from redundant facial pixels. To tackle these issues, we propose a boosting...