The University of Central Florida invention is a novel deep learning algorithm for automated (segmentation and classification of objects) road or pavement condition assessment. The A+MCNN has the following two unique features:
Scale-specific feature extraction to produce feature maps of ROIs at three different scales
An attention module for mid-fusion to produce score maps as weight matrices to determine how much each feature map at different scales contributes to final class label prediction
