Material Recognition
15 papers with code • 0 benchmarks • 9 datasets
Material recognition focuses on identifying classes, types, states, and properties of materials.
Benchmarks
These leaderboards are used to track progress in Material Recognition
MINC
MCubeS
LabPics
TransProteus
SpectroVision
MatSim
MatSeg
OpenSurfaces
Most implemented papers
Differential Viewpoints for Ground Terrain Material Recognition
jiaxue1993/pytorch-material-classification
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A key concept is differential angular imaging, where small angular variations in image capture enables angular-gradient features for an enhanced appearance representation that improves recognition.
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition
shaoli-huang/sps
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ICCV 2021
Learning mid-level representation for fine-grained recognition is easily dominated by a limited number of highly discriminative patterns, degrading its robustness and generalization capability.
Encoding Spatial Distribution of Convolutional Features for Texture Representation
csfengli/fenet
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NeurIPS 2021
Existing convolutional neural networks (CNNs) often use global average pooling (GAP) to aggregate feature maps into a single representation.
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
The synthetic images were rendered using giant collections of textures, objects, and environments generated by computer graphics artists.
MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
People with Visual Impairments (PVI) typically recognize objects through haptic perception.
