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 11–20 of 206 papers

TitleStatusHype
Wavelet Convolutional Neural Networks for Texture ClassificationCode1
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture AnalysisCode1
Quantitative Measures for Passive Sonar Texture AnalysisCode0
Patch and Shuffle: A Preprocessing Technique for Texture Classification in Autonomous Cementitious Fabrication—0
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
Lightweight Deepfake Detection Based on Multi-Feature Fusion—0
A Machine Learning Model for Crowd Density Classification in Hajj Video Frames—0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification—0
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation—0
Show:102550
← PrevPage 2 of 21Next →

No leaderboard results yet.