Lei Chen1, #, Kanghu Bo2, #, Feifei Lee1, *, Qiu Chen1, 3, *
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 505-523, 2020, DOI:10.32604/cmes.2020.08425
Abstract Scene recognition is a popular open problem in the computer vision field. Among
lots of methods proposed in recent years, Convolutional Neural Network (CNN) based
approaches achieve the best performance in scene recognition. We propose in this paper an
advanced feature fusion algorithm using Multiple Convolutional Neural Network (MultiCNN) for scene recognition. Unlike existing works that usually use individual convolutional
neural network, a fusion of multiple different convolutional neural networks is applied for
scene recognition. Firstly, we split training images in two directions and apply to three deep
CNN model, and then extract features from the last full-connected (FC) layer… More >
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