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Material Recognition

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

Papers

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Showing 1–50 of 65 papers

TitleStatusHype
Deep TEN: Texture Encoding NetworkCode2
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute LossCode1
MateRobot: Material Recognition in Wearable Robotics for People with Visual ImpairmentsCode1
Describing Textures in the WildCode1
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained RecognitionCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Encoding Spatial Distribution of Convolutional Features for Texture RepresentationCode1
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingCode1
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture ImagingCode1
Face Anti-Spoofing with Human Material Perception—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
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
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
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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