The proposed CarDNet model includes two main parts: ResNet50 and an enhanced version of the attention net module. The key innovation is a refined attention module known as CAM (Convolutional Attention Module), aimed at better detecting damage between different classes. CAM consists of two parallel sub-modules: one for channels and one for spatial features. Placed after each residual block in the ResNet50 network, the CAM module dynamically enhances each incoming intermediate feature.
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