Fig. 5: Comparison of deep learning architectures used for printing quality recognition.
From: Transformer-based approach for printing quality recognition in fused filament fabrication
a Vision transformer (ViT) architecture, including patch embedding, positional encoding, Transformer encoder, and classification (MLP) head; b common convolutional neural network (CNN) architecture, including convolutional layers, pooling layers and a fully connected classification layer.
