Figure 4

MFM mainly consists of convolutional layers with varying kernel sizes and two convolutional blocks. The convolutional kernels of the three branches increase sequentially from top to bottom, with the red line at the bottom indicating skip connections. Convblock-1 comprises two convolutional layers a ReLU function, and a normalization operation. Convblock-2 comprises two convolutional layers, a ReLU function, and a sigmoid function..