Figure 3
From: Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Four layers (j:12, F:48) with feature maps from the previous layer as the next layer’s input after concatenation. Colored arrows indicate concatenate connections, and black forward arrows show batch normalization, ReLU, convolution, and drop out.
