Deep residual pooling network for texture recognition

[1]  Kilian Q. Weinberger,et al.  Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Edward H. Adelson,et al.  Material perception: What can you see in a brief glance? , 2010 .

[3]  Subhransu Maji,et al.  Second-order Democratic Aggregation , 2018, ECCV.

[4]  Maria Lindén,et al.  A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[5]  Adel Hafiane,et al.  Joint Adaptive Median Binary Patterns for texture classification , 2015, Pattern Recognit..

[6]  Cor J. Veenman,et al.  Kernel Codebooks for Scene Categorization , 2008, ECCV.

[7]  Kai Wang,et al.  Local binary circumferential and radial derivative pattern for texture classification , 2017, Pattern Recognit..

[8]  Kristin J. Dana,et al.  Deep TEN: Texture Encoding Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Cordelia Schmid,et al.  Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[11]  Alexei A. Efros,et al.  A 4D Light-Field Dataset and CNN Architectures for Material Recognition , 2016, ECCV.

[12]  Paul W. Fieguth,et al.  Texture Classification from Random Features , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Hang Zhang,et al.  Deep Texture Manifold for Ground Terrain Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[14]  Quoc V. Le,et al.  EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.

[15]  Laurens van der Maaten,et al.  Accelerating t-SNE using tree-based algorithms , 2014, J. Mach. Learn. Res..

[16]  Subhransu Maji,et al.  Visualizing and Understanding Deep Texture Representations , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Subhransu Maji,et al.  Bilinear CNN Models for Fine-Grained Visual Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[18]  Matti Pietikäinen,et al.  From BoW to CNN: Two Decades of Texture Representation for Texture Classification , 2018, International Journal of Computer Vision.

[19]  Trevor Darrell,et al.  DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.

[20]  Yang Gao,et al.  Compact Bilinear Pooling , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Yi Zhu,et al.  Gated Transfer Network for Transfer Learning , 2018, ACCV.

[22]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[23]  Yassine Ruichek,et al.  Local Concave-and-Convex Micro-Structure Patterns for texture classification , 2018, Pattern Recognit..

[24]  Matti Pietikäinen,et al.  Local binary features for texture classification: Taxonomy and experimental study , 2017, Pattern Recognit..

[25]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[26]  Antonio Torralba,et al.  Recognizing indoor scenes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[27]  Subhransu Maji,et al.  Deep filter banks for texture recognition and segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[28]  Iasonas Kokkinos,et al.  Describing Textures in the Wild , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[29]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Mo Chen,et al.  Deep Residual Network for Steganalysis of Digital Images , 2019, IEEE Transactions on Information Forensics and Security.

[31]  Qing Li,et al.  Locally-Transferred Fisher Vectors for Texture Classification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[32]  Joe Yue-Hei Ng,et al.  FASON: First and Second Order Information Fusion Network for Texture Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  Yunde Jia,et al.  Deep convolutional network with locality and sparsity constraints for texture classification , 2019, Pattern Recognit..

[34]  Andrew Zisserman,et al.  A Statistical Approach to Texture Classification from Single Images , 2005, International Journal of Computer Vision.