PCD-Net: prior-context collaborative learning for robust facial expression recognition under noisy labels
Noisy annotations and class imbalance commonly coexist in real-world facial expression recognition (FER), making hard but correctly labeled minority-class samples difficult to distinguish from unreliable training samples. Existing noisy FER approaches mainly improve robustness through sample selection or re-weighting...