Transfer deep convolutional activation-based features for domain adaptation in sensor networks
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DOI: 10.1186/s13638-018-1059-8
Abstract: In this paper, we propose a novel method named transfer deep convolutional activation-based features (TDCAF) for domain adaptation in sensor networks. Specifically, we first train a siamese network with weight sharing to map the images… read more here.
Keywords: convolutional activation; deep convolutional; transfer deep; based features ... See more keywords