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Material Recognition

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

Papers

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Showing 1–25 of 65 papers

TitleStatusHype
Deep TEN: Texture Encoding NetworkCode2
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
MateRobot: Material Recognition in Wearable Robotics for People with Visual ImpairmentsCode1
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute LossCode1
Describing Textures in the WildCode1
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained RecognitionCode1
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture ImagingCode1
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingCode1
Encoding Spatial Distribution of Convolutional Features for Texture RepresentationCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Deep Filter Banks for Texture Recognition and SegmentationCode0
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition KernelsCode0
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode0
Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature PatternsCode0
One-shot recognition of any material anywhere using contrastive learning with physics-based renderingCode0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial NetworksCode0
Classification of Household Materials via SpectroscopyCode0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Shape and Texture Recognition in Large Vision-Language ModelsCode0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition—0
Geometry-Informed Material Recognition—0
Deep Learning for Material recognition: most recent advances and open challenges—0
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