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Material Recognition

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

Papers

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Showing 11–20 of 65 papers

TitleStatusHype
Shape and Texture Recognition in Large Vision-Language ModelsCode0
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
Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature PatternsCode0
Deep Filter Banks for Texture Recognition and SegmentationCode0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Classification of Household Materials via SpectroscopyCode0
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition KernelsCode0
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