Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Fukushima, K. (1980) · 1980

Earlier work this paper cites.

Operations for learning with graphical models

Buntine, W. (1994) · 1994

Earlier work this paper cites.

Gradient based learning applied to document recognition

LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P. (1998) · 1998

Earlier work this paper cites.

Independent Component Analysis

Hyvärinen, A., Karhunen, J., and Oja, E. (2001) · 2001

Earlier work this paper cites.

What is the best multi-stage architecture for object recognition?

Jarrett, K., Kavukcuoglu, K., Ranzato, M., and LeCun, Y. (2009) · 2009

Earlier work this paper cites.

Deep sparse rectifier neural networks

Glorot, X., Bordes, A., and Bengio, Y. (2011) · 2011

Earlier work this paper cites.

Reading digits in natural images with unsupervised feature learning

Netzer, Y., Wang, T., Coates, A., Bissacco, A., Wu, B., and Ng, A. Y. (2011) · 2011

Cited alongside, same era.

Large scale distributed deep networks

Dean, J., Corrado, G., Monga, R., Chen, K., Devin, M., Le, Q., Mao, M., Ranzato, M., Senior, A., Tucker, P., Yang, K., and Ng, A. Y. (2012) · 2012

Cited alongside, same era.

Improving neural networks by preventing co-adaptation of feature detectors

Original

Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., and Salakhutdinv, R. (2012) · 2012

Cited alongside, same era.

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., and Hinton, G. (2012) · 2012

Cited alongside, same era.

Convolutional neural networks applied to house numbers digit classification

Sermanet, P., Chintala, S., and LeCun, Y. (2012) · 2012

Cited alongside, same era.

End-to-end text recognition with hybrid hmm maxout models

Original

Alsharif, O. and Pineau, J. (2013) · 2013

Closest in time.

Rich feature hierarchies for accurate object detection and semantic segmentation

Original

Girshick, R., Donahue, J., Darrell, T., and Malik, J. (2013) · 2013

Closest in time.

Maxout networks

Goodfellow, I. J., Warde-Farley, D., Mirza, M., Courville, A., and Bengio, Y. (2013) · 2013

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Deep neural networks for object detection

Szegedy, C., Toshev, A., and Erhan, D. (2013) · 2013

Closest in time.

Visualizing and understanding convolutional neural networks

Original

Zeiler, M. D. and Fergus, R. (2013) · 2013

Closest in time.