GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery

Y. LeCun, L. Jackel, L. Bottou, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. Muller, E. Sackinger, P. Simard, et al

1995

Earlier work this paper cites.

M.-L. Ou, S.-R. C. Jae-Gwang-Won, et al

2005

Earlier work this paper cites.

A. L. Maas, A. Y. Hannun, and A. Y. Ng, “Rectifier nonlinearities improve neural network acoustic models,” in Proc. ICML

2013

Earlier work this paper cites.

D. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980

Original

2014

Earlier work this paper cites.

S. Xingjian, Z. Chen, H. Wang, D.-Y. Yeung, W.-K. Wong, and W.-c. Woo, “Convolutional lstm network: A machine learning approach for precipitation nowcasting,” in Advances in neural information processing systems

2015

Cited alongside, same era.

C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions,” in Proceedings of the IEEE conference on computer vision and pattern recognition

2015

Cited alongside, same era.

D.-A. Clevert, T. Unterthiner, and S. Hochreiter, “Fast and accurate deep network learning by exponential linear units (elus),” arXiv preprint arXiv:1511.07289

Original

2015

Cited alongside, same era.

F. Chollet et al

2015

Cited alongside, same era.

M. M. Kordmahalleh, M. G. Sefidmazgi, A. Homaifar, and S. Liess, “Hurricane trajectory prediction via a sparse recurrent neural network,”

Cited in the paper.

E. Racah, C. Beckham, T. Maharaj, C. Pal, et al

Original

2016

Later among the works it cites.

X. Mao, C. Shen, and Y.-B. Yang, “Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections,” in Advances in Neural Information Processing Systems

2016

Later among the works it cites.

M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, et al

Original

2016

Later among the works it cites.