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Material Recognition

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

Papers

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Showing 21–30 of 65 papers

TitleStatusHype
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
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