Enhancing facial expression recognition with lightweight attention-based CNN
A lightweight FER model that combines a truncated MobileNetV2 backbone with a patch-based local feature extraction module and a channel-attention refinement module and a channel-attention refinement module, followed by a compact classifier is proposed, outperforming many existing lightweight models.