Model Capacity for Small-Sample Facial Expression Recognition
A stability-oriented convolutional study that rethinks model capacity for seven-class small-sample FER and combines stratified partitioning, grayscale normalization, compact VGG-style representation learning, global average pooling, label smoothing, dropout, L2 regularization, and momentum-based optimization to control...