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Texture Classification
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Patch and Shuffle: A Preprocessing Technique for Texture Classification in Autonomous Cementitious Fabrication
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings
Lightweight Deepfake Detection Based on Multi-Feature Fusion
A Machine Learning Model for Crowd Density Classification in Hajj Video Frames
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation
Enhanced Wavelet Scattering Network for image inpainting detection
Texture Discrimination via Hilbert Curve Path Based Information Quantifiers
An accurate detection of micro-collapse during the lyophilisation of a 5% w/v lactose solution using a combination of novel techniques: intelligent laser speckle imaging (ILSI) and through-vial impedance spectroscopy (TVIS)
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification
Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction
Compositional Neural Textures
Texture Classification Network Integrating Adaptive Wavelet Transform
TexTile: A Differentiable Metric for Texture Tileability
Grey Level Co-occurrence Matrix (GLCM) Based Second Order Statistics for Image Texture Analysis
Latent space configuration for improved generalization in supervised autoencoder neural networks
Riesz feature representation: scale equivariant scattering network for classification tasks
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
Texture Representation via Analysis and Synthesis with Generative Adversarial Networks
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction
Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks
Texture image analysis based on joint of multi directions GLCM and local ternary patterns
Multilayer deep feature extraction for visual texture recognition
Texture features in medical image analysis: a survey
Large-Margin Representation Learning for Texture Classification
Unsupervised Learning of the Total Variation Flow
Can autism be diagnosed with AI?
2-d signature of images and texture classification
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