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 1–10 of 206 papers

TitleStatusHype
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
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
Texture Discrimination via Hilbert Curve Path Based Information Quantifiers—0
Show:102550
← PrevPage 1 of 21Next →

No leaderboard results yet.