Fig. 2From: Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classificationA sketch of the considered network structure for the training (left) and the testing (right) time. At training time, the network receives the ground-truth and gives a prediction based on the fused features and the single modalities. At test time, modality-wise OOD detectors are used to propagate distributional uncertainty onto the fused prediction. The prior distribution represents the case where no information is available and is chosen as a probability of 0.5 for each classBack to article page