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Material Recognition

Material recognition focuses on identifying classes, types, states, and properties of materials.

Papers

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Showing 11–20 of 65 papers

TitleStatusHype
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
Deep Learning for Material recognition: most recent advances and open challenges—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Angular Luminance for Material Segmentation—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Deep convolutional filter banks for texture recognition and segmentation—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
Differential Angular Imaging for Material Recognition—0
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