A Perception-Inspired Deep Learning Framework for Predicting Perceptual Texture Similarity
نویسندگان
چکیده
منابع مشابه
Learning Texture Similarity with Perceptual Pairwise Distance
In this paper, we demonstrate how texture classification and retrieval could benefit from learning perceptual pairwise distance of different texture classes. Textures as represented by certain image features may not be correctly compared in a way that is consistent with human perception. Learning similarity helps to alleviate this perceptual inconsistency. For textures, psychological experiment...
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Texture classification and segmentation have been extensively researched over the last thirty years. Early on the Brodatz album[1] quickly became the de facto standard in which a texture class comprised a set of nonoverlapping sub-images cropped from a single photograph. Later, as the focus shifted to investigating illuminationand pose-invariant algorithms, the CUReT database[3] became popular ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2020
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2019.2944569