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Material Recognition

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

Papers

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Showing 51–65 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
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images—0
Integrated Sensing and Communications Framework for 6G Networks—0
Integrating Deep Features for Material Recognition—0
Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery—0
Intelligent Parsing: An Automated Parsing Framework for Extracting Design Semantics from E-commerce Creatives—0
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