Dec 26, 2018 · The SFN model uses a deep CNN to classify the frontage of a street. This study expands on the previous research via five experiments. We find ...
In this study, we further develop the Street-Frontage-Net (SFN), a convolutional neural network (CNN) that can successfully evaluate the quality of street ...
In this study, we further develop the Street-Frontage-Net (SFN), a convolutional neural network (CNN) that can successfully evaluate the quality of street ...
The Street-Frontage-Net is further developed, a convolutional neural network that can successfully evaluate the quality of street frontage as either being ...
The SFN model uses a deep CNN to classify the frontage of a street. This study expands on the previous research via five experiments. We find robust results in ...
The SFN model uses a deep CNN to classify the frontage of a street. This study expands on the previous research via five experiments. We find robust results in ...
The research finds encouraging results in classifying urban frontage quality using deep learning models. This research also finds that augmenting the ...
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Using Deep Learning to Quantify the Beauty of Outdoor Places · Happiness Greater in More Scenic Locations · Street-Frontage-Net: Urban Image Classification Using ...
Street-Frontage-Net: urban image classification using deep convolutional neural networks. S Law, CI Seresinhe, Y Shen, M Gutierrez-Roig. International Journal ...
The research finds encouraging results in classifying urban frontage quality using deep learning models. This research also finds that augmenting the baseline ...