Texture Classification
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Greatest papers with code
PCANet: A Simple Deep Learning Baseline for Image Classification?
In this work, we propose a very simple deep learning network for image classification which comprises only the very basic data processing components: cascaded principal component analysis (PCA), binary hashing, and block-wise histograms.
#15 best model for
Image Classification
on MNIST
FACE RECOGNITION FACE VERIFICATION IMAGE CLASSIFICATION OBJECT RECOGNITION TEXTURE CLASSIFICATION
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
• felixriese/CNN-SoilTextureClassification
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Thereby, we rely on the freely available LUCAS topsoil dataset.
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Its architecture is indeed well suited to object analysis by learning and classifying complex (deep) features that represent parts of an object or the object itself.
Wavelet Convolutional Neural Networks for Texture Classification
• shinfj/WaveletCNN_for_TextureClassification
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We propose a novel CNN architecture, wavelet CNNs, which integrates a spectral analysis into CNNs.
FWLBP: A Scale Invariant Descriptor for Texture Classification
In this paper we propose a novel texture descriptor called Fractal Weighted Local Binary Pattern (FWLBP).
Spatio-spectral networks for color-texture analysis
Texture is one of the most-studied visual attribute for image characterization since the 1960s.
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
One important point is that all applications of BSIF in iris recognition have used the original BSIF filters, which were trained on image patches extracted from natural images.
DOMAIN ADAPTATION EYE TRACKING IRIS RECOGNITION TEXTURE CLASSIFICATION