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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
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
MateRobot: Material Recognition in Wearable Robotics for People with Visual ImpairmentsCode1
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingCode1
Encoding Spatial Distribution of Convolutional Features for Texture RepresentationCode1
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained RecognitionCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture ImagingCode1
Describing Textures in the WildCode1
Hierarchical Material Recognition from Local Appearance—0
Shape and Texture Recognition in Large Vision-Language ModelsCode0
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner—0
Temporal Binding Foundation Model for Material Property Recognition via Tactile Sequence Perception—0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Integrated Sensing and Communications Framework for 6G Networks—0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Intelligent Parsing: An Automated Parsing Framework for Extracting Design Semantics from E-commerce Creatives—0
UMat: Uncertainty-Aware Single Image High Resolution Material Capture—0
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images—0
One-shot recognition of any material anywhere using contrastive learning with physics-based renderingCode0
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition KernelsCode0
GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition—0
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer—0
The joint role of geometry and illumination on material recognition—0
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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