Abstract: In this paper, we propose a deep transfer learning model that automatically learns domain ontology from different automotive datasets. Equipment safety is one of the key priorities for ...
Abstract: To solve the problem that UNet performs poorly in multi-class segmentation on large datasets, this paper proposes a new neural network model, B-UNet. UNet has some problems, such as poor ...
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