Gradient-Aligned convolution neural network

[1]  Tamio Takamura,et al.  Alternative Approach for Satellite Cloud Classification: Edge Gradient Application , 2013 .

[2]  Joachim M. Buhmann,et al.  TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Stephan J. Garbin,et al.  Harmonic Networks: Deep Translation and Rotation Equivariance , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[5]  Li Liu,et al.  Rotation Invariant Local Binary Convolution Neural Networks , 2017, IEEE Access.

[6]  Khalid M. Hosny,et al.  New fractional-order Legendre-Fourier moments for pattern recognition applications , 2020, Pattern Recognit..

[7]  Qiang Qiu,et al.  Oriented Response Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Markus Hadwiger,et al.  Real-time volume graphics , 2006, Eurographics.

[9]  Max Welling,et al.  HexaConv , 2018, 1803.02108.

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

[11]  Xiao-Li Meng,et al.  The Art of Data Augmentation , 2001 .

[12]  Charles K. Chui,et al.  Deep Neural Networks for Rotation-Invariance Approximation and Learning , 2019, Analysis and Applications.

[13]  Gong Cheng,et al.  RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Deng Cai,et al.  Deep Rotation Equivariant Network , 2017, Neurocomputing.

[15]  C. Lintott,et al.  Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey , 2013, 1308.3496.

[16]  Pedro M. Domingos,et al.  Deep Symmetry Networks , 2014, NIPS.

[17]  Maurice Weiler,et al.  Learning Steerable Filters for Rotation Equivariant CNNs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[18]  Patrice Y. Simard,et al.  Best practices for convolutional neural networks applied to visual document analysis , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

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

[20]  Jian Ma,et al.  Rotation Equivariance and Invariance in Convolutional Neural Networks , 2018, ArXiv.

[21]  R. Shepard,et al.  Mental Rotation of Three-Dimensional Objects , 1971, Science.

[22]  Max Welling,et al.  Group Equivariant Convolutional Networks , 2016, ICML.

[23]  Andrea Vedaldi,et al.  Warped Convolutions: Efficient Invariance to Spatial Transformations , 2016, ICML.

[24]  Trevor Darrell,et al.  Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.

[25]  Christopher Hunt,et al.  Notes on the OpenSURF Library , 2009 .

[26]  Guang Lin,et al.  Rotation-equivariant convolutional neural network ensembles in image processing , 2019, UbiComp/ISWC Adjunct.

[27]  Petr Dokládal,et al.  Rotation Invariant CNN Using Scattering Transform for Image Classification , 2019, 2019 IEEE International Conference on Image Processing (ICIP).

[28]  Hanno Scharr,et al.  Optimal Filters for Extended Optical Flow , 2004, IWCM.

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

[30]  A. Robert Calderbank,et al.  RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks , 2018, ICLR.

[31]  Jan Flusser,et al.  Pattern recognition by affine moment invariants , 1993, Pattern Recognit..

[32]  Petr Dokládal,et al.  A minimal model for classification of rotated objects with prediction of the angle of rotation , 2021, J. Vis. Commun. Image Represent..

[33]  Koray Kavukcuoglu,et al.  Exploiting Cyclic Symmetry in Convolutional Neural Networks , 2016, ICML.

[34]  N. Kanopoulos,et al.  Design of an image edge detection filter using the Sobel operator , 1988 .

[35]  Hong-Ying Yang,et al.  Image analysis by log-polar Exponent-Fourier moments , 2020, Pattern Recognit..

[36]  Jian Ma,et al.  Rotation equivariant and invariant neural networks for microscopy image analysis , 2019, Bioinform..

[37]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

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

[39]  Nikos Komodakis,et al.  Rotation Equivariant Vector Field Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

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

[41]  B. S. Manjunath,et al.  Rotation-invariant texture classification using modified Gabor filters , 1995, Proceedings., International Conference on Image Processing.

[42]  Andrew Zisserman,et al.  Spatial Transformer Networks , 2015, NIPS.