FASON: First and Second Order Information Fusion Network for Texture Recognition

CVPR, pp. 6100-6108, 2017.

Cited by: 26|Bibtex|Views19|Links
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Abstract:

Deep networks have shown impressive performance on many computer vision tasks. Recently, deep convolutional neural networks (CNNs) have been used to learn discriminative texture representations. One of the most successful approaches is Bilinear CNN model that explicitly captures the second order statistics within deep features. However, t...More

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