/texture-analysis

The repository includes texture representation, recognition, segmentation and others of texture analysis.

MIT LicenseMIT

texture-analysis

MIT License

The repository includes texture representation, recognition, segmentation and others of texture analysis. Great thank for the pioneer researchers in texture analysis and other related fields! Previous work including reviews and other great work for texture analysis.

summary

Latest review! From BoW to CNN: Two Decades of Texture Representation for Texture Classification

summary

2019 2018 2017 2016 2015 2014 2013-

2019

Title Conf/Journal Code Star Field Citation Performance
From BoW to CNN: Two Decades of Texture Representation for Texture Classification IJCV code * review 14 *
Multiscale Feature-Clustering-Based Fully Convolutional Autoencoder for Fast Accurate Visual Inspection of Texture Surface Defects IEEE TASE code * review 0 *
Deep Multiple-Attribute-Perceived Network for Real-world Texture Recognition ICCV code * review 0 *

2018

Title Conf/Journal Code Star Field Citation Performance
Deep Texture Manifold for Ground Terrain Recognition CVPR code 27 recognition 12 *

2017

Title Conf/Journal Code Star Field Citation Performance
Deep TEN: Texture Encoding Network CVPR code 68 recognition 42 *
Locally transferred fisher vectors for texture classification ICCV code * recognition 10 *
FASON: First and Second Order Information Fusion Network for Texture Recognition CVPR code * recognition 16 *

2016

Title Conf/Journal Code Star Field Citation Performance
NetVLAD: CNN architecture for weakly supervised place recognition CVPR code 236 recognition 509 *
Compact Bilinear Pooling CVPR code 161 recognition 181 *
Deep Filter Banks for Texture Recognition, Description, and Segmentation IJCV code 71 rec/seg 395 *
Median Robust Extended Local Binary Pattern for Texture Classification TIP code 0 recognition 144 *
Using Filter Banks in Convolutional Neural Networks for Texture Classification PRL code * recognition 88 *

2015

Title Conf/Journal Code Star Field Citation Performance
PCANet: A Simple Deep Learning Baseline for Image Classification? TIP code 64 recognition 633 *
Bilinear CNN Models for Fine-grained Visual Recognition ICCV code * recognition 391 *
Deep filter banks for texture recognition and segmentation CVPR code 71 recognition 325 *

2014

Title Conf/Journal Code Star Field Citation Performance
Describing Textures in the Wild CVPR code 1 classification 360 *

2013-

Title Conf/Journal Code Star Field Citation Performance
Invariant Scattering Convolution Networks, 2013 TPAMI code 69 classification 727 *
Sorted Random Projections for robust texture classification, 2011 ICCV code * reconstruction 84 *
Aggregating local descriptors into a compact image representation, 2010 CVPR code * recognition 1319 *
TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces, 2007 TPAMI code * reconstruction 108 *