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

Showing 201206 of 206 papers

TitleStatusHype
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Persistence Curves: A canonical framework for summarizing persistence diagramsCode0
Unsupervised Learning of the Total Variation FlowCode0
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral DataCode0
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel ApproachCode0
Show:102550
← PrevPage 5 of 5Next →

No leaderboard results yet.