Dense layers are found in a number of other network architectures, typically as classifiers. Although they are also commonly used independently, meaning that the dense layers complete both the feature extraction
In the derivation of pseudo-labels, a common approach is to employ image-level labels to train classifiers for crack detection, which then generate class activation maps as preliminary crack pixel-level pseudo-labels [29]. König et al. [15] introduced an innovative thresholding technique to ...
In the derivation of pseudo-labels, a common approach is to employ image-level labels to train classifiers for crack detection, which then generate class activation maps as preliminary crack pixel-level pseudo-labels [29]. König et al. [15] introduced an innovative thresholding technique to ...
In the derivation of pseudo-labels, a common approach is to employ image-level labels to train classifiers for crack detection, which then generate class activation maps as preliminary crack pixel-level pseudo-labels [29]. König et al. [15] introduced an innovative thresholding technique to ...