Existing facial expression recognition methods have some drawbacks. For example, it
becomes difficult for network learning on cross-dataset facial expressions, multi-region …

Due to the small data and unbalanced sample distribution in the existing facial emotion
datasets, the effect of facial expression recognition is not ideal. Traditional data …

Convolutional neural networks (CNNs) have made significant progress in the field of facial
expression recognition (FER). However, due to challenges such as occlusion, lighting …

Small targets have the characteristics of low resolution and low amounts of feature
information, leading to the weak expression ability of extracted features, which greatly …