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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
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
Encoding Spatial Distribution of Convolutional Features for Texture RepresentationCode1
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingCode1
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute LossCode1
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained RecognitionCode1
Describing Textures in the WildCode1
MateRobot: Material Recognition in Wearable Robotics for People with Visual ImpairmentsCode1
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture ImagingCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Classification of Household Materials via SpectroscopyCode0
Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature PatternsCode0
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition KernelsCode0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode0
One-shot recognition of any material anywhere using contrastive learning with physics-based renderingCode0
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial NetworksCode0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Shape and Texture Recognition in Large Vision-Language ModelsCode0
Deep Filter Banks for Texture Recognition and SegmentationCode0
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
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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