Rotation-invariant convolutional neural networks for galaxy morphology …

Artículos que citan Rotation-invariant convolutional neural networks for galaxy morphology …

Título / Autor	Año
Brain tumor segmentation using convolutional neural networks in MRI images S Pereira, A Pinto, V Alves, CA Silva IEEE transactions on medical imaging 35 (5), 1240-1251	2016
Group equivariant convolutional networks T Cohen, M Welling International conference on machine learning, 2990-2999	2016
Convolutional neural network based fault detection for rotating machinery O Janssens, V Slavkovikj, B Vervisch, K Stockman, M Loccufier, ... Journal of Sound and Vibration 377, 331-345	2016
Understanding image representations by measuring their equivariance and equivalence K Lenc, A Vedaldi Proceedings of the IEEE conference on computer vision and pattern …	2015
System and method for tracking utilization data for an electronic device J Menard, KG MacQueen US Patent 7,035,762	2006
The Dragonfly Nearby Galaxies Survey. V. HST/ACS Observations of 23 Low Surface Brightness Objects in the Fields of NGC 1052, NGC 1084, M96, and NGC 4258 Y Cohen, P van Dokkum, S Danieli, AJ Romanowsky, R Abraham, ... The Astrophysical Journal 868 (2), 96	2018
Deep learning in color: towards automated quark/gluon jet discrimination PT Komiske, EM Metodiev, MD Schwartz Journal of High Energy Physics 2017 (1), 110	2017
Learning by tracking: Siamese CNN for robust target association L Leal-Taixé, C Canton-Ferrer, K Schindler Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Bit by bit: Social research in the digital age MJ Salganik Princeton University Press	2019
Exploiting cyclic symmetry in convolutional neural networks S Dieleman, J De Fauw, K Kavukcuoglu arXiv preprint arXiv:1602.02660	2016
Fine-grained categorization and dataset bootstrapping using deep metric learning with humans in the loop Y Cui, F Zhou, Y Lin, S Belongie Proceedings of the IEEE conference on computer vision and pattern …	2016
Steerable cnns TS Cohen, M Welling arXiv preprint arXiv:1612.08498	2016
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500	2016
Deep learning and the Schrödinger equation K Mills, M Spanner, I Tamblyn Physical Review A 96 (4), 042113	2017
Star-galaxy classification using deep convolutional neural networks EJ Kim, RJ Brunner Monthly Notices of the Royal Astronomical Society, stw2672	2016
Measuring photometric redshifts using galaxy images and Deep Neural Networks B Hoyle Astronomy and Computing 16, 34-40	2016
Improving deep learning using generic data augmentation L Taylor, G Nitschke arXiv preprint arXiv:1708.06020	2017
Finding strong gravitational lenses in the Kilo Degree Survey with convolutional neural networks CE Petrillo, C Tortora, S Chatterjee, G Vernardos, LVE Koopmans, ... Monthly Notices of the Royal Astronomical Society 472 (1), 1129-1150	2017
CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding F Lanusse, Q Ma, N Li, TE Collett, CL Li, S Ravanbakhsh, R Mandelbaum, ... Monthly Notices of the Royal Astronomical Society 473 (3), 3895-3906	2017
Learning rotation invariant convolutional filters for texture classification D Marcos, M Volpi, D Tuia 2016 23rd International Conference on Pattern Recognition (ICPR), 2012-2017	2016

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