From BoW to CNN: Two Decades of Texture Representation for Texture Classification
نویسندگان
چکیده
منابع مشابه
Cnn-based Texture Generation
Gatys et al. (2015a) showed that pair-wise products of features in a convolutional network are a very effective representation of image textures. We propose a simple modification to that representation which makes it possible to incorporate longrange structure into image generation, and to render images that satisfy various symmetry constraints. We show how this can greatly improve rendering of...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2018
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-018-1125-z