Papers with Code 아카이브
Texture Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
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.
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform
Debiased Self-Training for Semi-Supervised Learning
Segmentation of Lung Tumor from CT Images using Deep Supervision
Data-driven and Automatic Surface Texture Analysis Using Persistent Homology
VisGraphNet: a complex network interpretation of convolutional neural features
Fractal measures of image local features: an application to texture recognition
Inference via Sparse Coding in a Hierarchical Vision Model
Fusion of Complex Networks-based Global and Local Features for Texture Classification
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis
CN-LBP: Complex Networks-based Local Binary Patterns for Texture Classification
A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC
Continuous monitoring of plant sub-cellular structural changes for plant and crop diseases detection by use of Intelligent Laser Speckle Classification (AI) technique
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare
Texture-aware Video Frame Interpolation
Identifying the Origin of Finger Vein Samples Using Texture Descriptors
Smile and Laugh Expressions Detection Based on Local Minimum Key Points
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery
Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing
Spatio-temporal encoding improves neuromorphic tactile texture classification
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems
Dynamic texture analysis for detecting fake faces in video sequences
C-CNN: Contourlet Convolutional Neural Networks
A cellular automata approach to local patterns for texture recognition
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung
Co-occurrence Based Texture Synthesis
Modal features for image texture classification
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology
Introducing Anisotropic Minkowski Functionals for Local Structure Analysis and Prediction of Biomechanical Strength of Proximal Femur Specimens
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.