Material Classification
12 papers with code • 0 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Material Classification
MINC
LabPics
SpectroVision
OpenSurfaces
Latest papers with no code
Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction
Reflective and textureless surfaces such as windows, mirrors, and walls can be a challenge for object and scene reconstruction.
Programmable Spectral Filter Arrays using Phase Spatial Light Modulator
Spatially varying spectral modulation can be implemented using a liquid crystal spatial light modulator (SLM) since it provides an array of liquid crystal cells, each of which can be purposed to act as a programmable spectral filter array.
Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach
For ground material segmentation, we utilized an existing convolutional neural network architecture (i. e., 3DMV) which was originally designed for segmenting RGB-D sensed indoor data.
Construction material classification on imbalanced datasets using Vision Transformer (ViT) architecture
This research proposes a reliable model for identifying different construction materials with the highest accuracy, which is exploited as an advantageous tool for a wide range of construction applications such as automated progress monitoring.
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Our layer combines the feature vectors and their respective spatial locations in the feature maps produced by the last convolutional layer of CNN into a positive definite matrix with second-order statistics to which PN operators are applied, forming so-called Second-order Pooling (SOP).
Material Recognition for Automated Progress Monitoring using Deep Learning Methods
Recent advancements in Artificial intelligence, especially deep learning, has changed many fields irreversibly by introducing state of the art methods for automation.
Visualizing key features in X-ray images of epoxy resins for improved material classification using singular value decomposition of deep learning features
To facilitate the identification, we approximate the magnitude of the gradient of the intensity field of the X-ray images of different kinds of epoxy resins and then we use deep learning to discover the most representative features of the transformed images.
Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function
We consider the problem of joint three-dimensional (3D) localization and material classification of unresolved space debris using a multispectral rotating point spread function (RPSF).
Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters
We use this camera to optically implement the spectral filtering of the scene's hyperspectral image with the bank of spectral profiles needed to perform per-pixel material classification.
A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
When dealing with material classification in baggage at airports, Dual-Energy Computed Tomography (DECT) allows characterization of any given material with coefficients based on two attenuative effects: Compton scattering and photoelectric absorption.
