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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
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
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
Learning Multi-Scale Representations for Material Classification—0
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification—0
Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain—0
Material Recognition for Automated Progress Monitoring using Deep Learning Methods—0
Material Recognition from Local Appearance in Global Context—0
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
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