LBPNet uses local binary comparisons and random projections in place of conventional convolution (or approximation of convolu- tion) operations, providing an important means to improve memory efficiency as well as inference speed.
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In this paper a novel unsupervised deep learning based methodology, named Local Binary Pattern Network (LBPNet), is proposed to efficiently extract and compare ...
Aug 24, 2023 · LBP is based on appearance features. It is a way to describe the local structure of an image in a way that is invariant to changes in illumination.
Mar 19, 2018 · LBPNet1 uses local binary comparisons and random projection in place of conventional convolu- tion (or approximation of convolution) operations.
Under these constraints, we explore a novel approach to character recognition using local binary pattern networks, or LBPNet, that can learn and perform bit- ...
LBPNet uses local binary comparisons and random projections in place of conventional convolution (or approximation of convolution) operations, providing an ...
We propose local binary convolution (LBC), an efficient alternative to convolutional layers in standard convolutional neural networks (CNN).
We propose local binary convolution (LBC), an efficient alternative to convolutional layers in standard convolutional neural networks (CNN).
Mar 3, 2010 · Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel.
Mar 15, 2023 · In this paper, we provide a comprehensive review on such efforts which aims to incorporate the LBP mechanism into the design of CNN modules to ...