Unsupervised natural image patch learning
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Daniel Cohen-Or | Hadar Averbuch-Elor | Dov Danon | Ohad Fried | D. Cohen-Or | Hadar Averbuch-Elor | Ohad Fried | Dov Danon
[1] Andrew Zisserman,et al. Texture classification: are filter banks necessary? , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[2] D. Gabor,et al. Theory of communication. Part 1: The analysis of information , 1946 .
[3] Yevgen Matviychuk and Shannon M. Hughes. Exploring the Manifold of Image Patches , 2015 .
[4] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[5] Paul A. Viola,et al. Texture recognition using a non-parametric multi-scale statistical model , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[6] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] Iasonas Kokkinos,et al. Discriminative Learning of Deep Convolutional Feature Point Descriptors , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Rama Chellappa,et al. Visual Domain Adaptation: A survey of recent advances , 2015, IEEE Signal Processing Magazine.
[10] B. Julesz. Textons, the elements of texture perception, and their interactions , 1981, Nature.
[11] Ralph R. Martin,et al. PatchNet: a patch-based image representation for interactive library-driven image editing , 2013, ACM Trans. Graph..
[12] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Ce Liu,et al. Unsupervised Joint Object Discovery and Segmentation in Internet Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Shaogang Gong,et al. Unsupervised Domain Adaptation for Zero-Shot Learning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Subhransu Maji,et al. Deep filter banks for texture recognition and segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Ralph R. Martin,et al. BiggerPicture: data-driven image extrapolation using graph matching , 2014, ACM Trans. Graph..
[17] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Yann LeCun,et al. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches , 2015, J. Mach. Learn. Res..
[19] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[20] Daniel Cohen-Or,et al. Patch2Vec: Globally Consistent Image Patch Representation , 2017, Comput. Graph. Forum.
[21] Song-Chun Zhu,et al. Mapping Natural Image Patches by Explicit and Implicit Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Kilian Q. Weinberger,et al. Marginalized Denoising Autoencoders for Domain Adaptation , 2012, ICML.
[24] Alexei A. Efros,et al. Context Encoders: Feature Learning by Inpainting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[26] Shi-Min Hu,et al. PatchTable: efficient patch queries for large datasets and applications , 2015, ACM Trans. Graph..
[27] Abhinav Gupta,et al. Unsupervised Learning of Visual Representations Using Videos , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[28] Fang-Lue Zhang,et al. A survey of the state-of-the-art in patch-based synthesis , 2017, Computational Visual Media.
[29] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[30] Edward H. Adelson,et al. Learning visual groups from co-occurrences in space and time , 2015, ArXiv.