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 131–140 of 206 papers

TitleStatusHype
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis—0
Lightweight Deepfake Detection Based on Multi-Feature Fusion—0
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification—0
Local Jet Pattern: A Robust Descriptor for Texture Classification—0
Locally-Transferred Fisher Vectors for Texture Classification—0
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis—0
Modal features for image texture classification—0
Multilayer Complex Network Descriptors for Color-Texture Characterization—0
Multilayer deep feature extraction for visual texture recognition—0
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results—0
Show:102550
← PrevPage 14 of 21Next →

No leaderboard results yet.