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Found 4 papers, 2 papers with code
Map-aided annotation for pole base detection
In the absence of height information, the map features are represented as pole bases at the ground level.
Fusion of evidential CNN classifiers for image classification
We propose an information-fusion approach based on belief functions to combine convolutional neural networks.
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.
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.
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