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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
Material Recognition in the Wild with the Materials in Context Database—0
Material Segmentation of Multi-View Satellite Imagery—0
Multi-Class Zero-Shot Learning for Artistic Material Recognition—0
One-Shot Hyperspectral Imaging Using Faced Reflectors—0
Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements—0
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition—0
Recognizing Material Properties from Images—0
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications—0
Reflectance Hashing for Material Recognition—0
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set—0
Sensing and Recognizing Surface Textures Using a GelSight Sensor—0
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner—0
Temporal Binding Foundation Model for Material Property Recognition via Tactile Sequence Perception—0
The joint role of geometry and illumination on material recognition—0
The Photometry of Intrinsic Images—0
Through-Wall Object Recognition and Pose Estimation—0
Transfer Learning for Material Classification using Convolutional Networks—0
UMat: Uncertainty-Aware Single Image High Resolution Material Capture—0
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
Water Detection through Spatio-Temporal Invariant Descriptors—0
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Angular Luminance for Material Segmentation—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
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