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Material Recognition

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

Papers

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Showing 41–50 of 65 papers

TitleStatusHype
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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