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Material Recognition

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

Papers

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Showing 26–50 of 65 papers

TitleStatusHype
Deep Learning for Material recognition: most recent advances and open challenges—0
Multi-Class Zero-Shot Learning for Artistic Material Recognition—0
Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements—0
Angular Luminance for Material Segmentation—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
Face Anti-Spoofing with Human Material Perception—0
Material Recognition for Automated Progress Monitoring using Deep Learning Methods—0
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Through-Wall Object Recognition and Pose Estimation—0
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode0
Material Segmentation of Multi-View Satellite Imagery—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Classification of Household Materials via SpectroscopyCode0
Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature PatternsCode0
Recognizing Material Properties from Images—0
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications—0
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial NetworksCode0
One-Shot Hyperspectral Imaging Using Faced Reflectors—0
Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition—0
Differential Angular Imaging for Material Recognition—0
Material Recognition from Local Appearance in Global Context—0
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