SOTAVerified

Material Recognition

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 65 papers

TitleStatusHype
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained RecognitionCode1
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
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
Face Anti-Spoofing with Human Material Perception—0
Material Recognition for Automated Progress Monitoring using Deep Learning Methods—0
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set—0
Show:102550
← PrevPage 3 of 7Next →

No leaderboard results yet.