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As an application of image recognition, special vehicle recognition is very important in military field. This paper proposes a deep-transfer model (DTM) to overcome the problems in existing recognition methods. The DTM combines deep-learning and transfer-learning to solve the difficulty in training deep model with insufficient simples, improving the performance of the recognition algorithm. At last,...
Domain adaptation aims to adapt a classifier from source domain to target domain through learning a good feature representation that allows knowledge to be shared and transferred across domains. Most of previous studies are restricted to extract features and train classifier separately under a shallow model structure. In this paper, we propose a semi-supervised domain adaptation method which co-trains...
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