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Fig. 2 | EURASIP Journal on Advances in Signal Processing

Fig. 2

From: Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification

Fig. 2

A 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 class

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