Abstract: In this work we propose a technique that transfers supervision between images from different modalities. We use learned representations from a large labeled modality as supervisory signal ...
Abstract: Domain adaptation in fault diagnosis can efficiently handle different data distributions by co-training source and target domain data. However, the source domain data may not be accessible ...
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