Fig. 2
From: DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network
Geometry Attention Module structure. The GAM module consists of three parallel branches: a 1 × 1 convolution, a 3 × 3 convolution, and a deformable convolution. The input features are passed through all branches simultaneously. The deformable convolution captures boundary features, and a sigmoid activation generates an activation map to re-weight the outputs of the other branches