Visualizing deep convolutional neural networks using natural pre-images
Image representations, from SIFT and bag of visual words to convolutional neural networks (CNNs) are a crucial component of almost all computer vision systems. However, our understanding of them remains limited. In this paper we study several landmark representations, both shallow and deep, by a num...
| Główni autorzy: | , |
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| Format: | Journal article |
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Springer Verlag
2016
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