SOTAVerified

Texture Classification

Texture Classification is a fundamental issue in computer vision and image processing, playing a significant role in many applications such as medical image analysis, remote sensing, object recognition, document analysis, environment modeling, content-based image retrieval and many more.

Source: Improving Texture Categorization with Biologically Inspired Filtering

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 206 papers

TitleStatusHype
Texture-aware Video Frame Interpolation—0
Identifying the Origin of Finger Vein Samples Using Texture Descriptors—0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points—0
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery—0
Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing—0
Spatio-temporal encoding improves neuromorphic tactile texture classification—0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique—0
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems—0
Dynamic texture analysis for detecting fake faces in video sequences—0
A cellular automata approach to local patterns for texture recognition—0
Show:102550
← PrevPage 7 of 21Next →

No leaderboard results yet.