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Material Recognition

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

Papers

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Showing 51–65 of 65 papers

TitleStatusHype
Transfer Learning for Material Classification using Convolutional Networks—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
Geometry-Informed Material Recognition—0
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition—0
Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery—0
Integrating Deep Features for Material Recognition—0
Water Detection through Spatio-Temporal Invariant Descriptors—0
Deep Filter Banks for Texture Recognition and SegmentationCode0
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification—0
Reflectance Hashing for Material Recognition—0
Material Recognition in the Wild with the Materials in Context Database—0
Deep convolutional filter banks for texture recognition and segmentation—0
Learning Multi-Scale Representations for Material Classification—0
The Photometry of Intrinsic Images—0
Sensing and Recognizing Surface Textures Using a GelSight Sensor—0
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