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Material Recognition

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

Papers

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Showing 51–60 of 65 papers

TitleStatusHype
Deep convolutional filter banks for texture recognition and segmentation—0
Deep Learning for Material recognition: most recent advances and open challenges—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
Differential Angular Imaging for Material Recognition—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Face Anti-Spoofing with Human Material Perception—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Geometry-Informed Material Recognition—0
GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition—0
Hierarchical Material Recognition from Local Appearance—0
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