Fig. 3
From: VM-UNet++ research on crack image segmentation based on improved VM-UNet
The feature fusion module FFM proposed in this article effectively fuses two input feature maps through convolution and Concat operations to generate more refined feature maps. Meanwhile, with the innovative channel attention (CA) and spatial attention (SA) mechanisms, FFM can accurately focus attention on the regions of interest.
