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Found 4 papers, 3 papers with code
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation
However, few current public datasets limit the potential exploration of deep learning in the application of pavement damage segmentation.
Fusion of evidential CNN classifiers for image classification
We propose an information-fusion approach based on belief functions to combine convolutional neural networks.
Evidential fully convolutional network for semantic segmentation
We propose a hybrid architecture composed of a fully convolutional network (FCN) and a Dempster-Shafer layer for image semantic segmentation.
An evidential classifier based on Dempster-Shafer theory and deep learning
We propose a new classifier based on Dempster-Shafer (DS) theory and a convolutional neural network (CNN) architecture for set-valued classification.
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