Learning rotation invariant convolutional filters for texture classification

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1991

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H. Greenspan, S. Belongie, R. Goodman, and P. Perona, “Rotation invariant texture recognition using a steerable pyramid,” in Proc. International Conference on Pattern Recognition (ICPR) , vol. 2. IEEE, 1994, pp. 162–167

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J. Malik, S. Belongie, T. Leung, and J. Shi, “Contour and texture analysis for image segmentation,” International Journal of Computer Vision , vol. 43, no. 1, pp. 7–27, 2001

2001

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T. Ojala, M. Pietikäinen, and T. Mäenpää, “Multiresolution gray-scale and rotation invariant texture classification with local binary patterns,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 24, no. 7, pp. 971–987, 2002

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M. N. Do and M. Vetterli, “Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden markov models,” IEEE Transactions on Multimedia , vol. 4, no. 4, pp. 517–527, 2002

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K. Jafari-Khouzani and H. Soltanian-Zadeh, “Radon transform orientation estimation for rotation invariant texture analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 27, no. 6, pp. 1004–1008, 2005

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2011

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F. M. Khellah, “Texture classification using dominant neighborhood structure,” IEEE Transactions on Image Processing , vol. 20, no. 11, pp. 3270–3279, 2011

2011

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K. Sohn and H. Lee, “Learning invariant representations with local transformations,” arXiv preprint arXiv:1206.6418 , 2012

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2012

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G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov, “Improving neural networks by preventing co-adaptation of feature detectors,” arXiv preprint arXiv:1207.0580 , 2012

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2012

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R. Gens and P. M. Domingos, “Deep symmetry networks,” in Advances in Neural Information Processing Systems , 2014, pp. 2537–2545

2014

Later among the works it cites.

S. Dieleman, K. W. Willett, and J. Dambre, “Rotation-invariant convolutional neural networks for galaxy morphology prediction,” Monthly Notices of the Royal Astronomical Society , vol. 450, no. 2, pp. 1441–1459, 2015

2015

Later among the works it cites.

F. Wu, P. Hu, and D. Kong, “Flip-rotate-pooling convolution and split dropout on convolution neural networks for image classification,” arXiv preprint arXiv:1507.08754 , 2015

Original

2015

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A. Vedaldi and K. Lenc, “Matconvnet: Convolutional neural networks for matlab,” in Proc. Annual ACM Conference on Multimedia Conference (ACMMM) . ACM, 2015, pp. 689–692

2015

Later among the works it cites.

X. Qi, G. Zhao, L. Shen, Q. Li, and M. Pietikäinen, “LOAD: Local orientation adaptive descriptor for texture and material classification,” arXiv preprint arxiv.org/abs/1504.05809 , 2015