Visualizing and Understanding Convolutional Networks

Backpropagation applied to handwritten zip code recognition

LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., and Jackel, L. D · 1989

Earlier work this paper cites.

Histograms of oriented gradients for pedestrian detection

Dalal, N. and Triggs, B · 2005

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On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields

Berkes, P. and Wiskott, L · 2006

Earlier work this paper cites.

One-shot learning of object categories

Fei-fei, L., Fergus, R., and Perona, P · 2006

Earlier work this paper cites.

The caltech 256

Griffin, G., Holub, A., and Perona, P · 2006

Earlier work this paper cites.

A fast learning algorithm for deep belief nets

Hinton, G. E., Osindero, S., and The, Y · 2006

Earlier work this paper cites.

Greedy layer-wise training of deep networks

Bengio, Y., Lamblin, P., Popovici, D., and Larochelle, H · 2007

Earlier work this paper cites.

Extracting and composing robust features with denoising autoencoders

Vincent, P., Larochelle, H., Bengio, Y., and Manzagol, P. A · 2008

Earlier work this paper cites.

Visualizing higher-layer features of a deep network

Erhan, D., Bengio, Y., Courville, A., and Vincent, P · 2009

Cited alongside, same era.

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

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

Cited alongside, same era.

Linear spatial pyramid matching using sparse coding for image classification

Jianchao, Y., Kai, Y., Yihong, G., and Thomas, H · 2009

Cited alongside, same era.

Tiled convolutional neural networks

Le, Q. V., Ngiam, J., Chen, Z., Chia, D., Koh, P., and Ng, A. Y · 2010

Cited alongside, same era.

Efficient learning of sparse, distributed, convolutional feature representations for object recognition

Sohn, K., Jung, D., Lee, H., and Hero III, A · 2011

Cited alongside, same era.

Unbiased look at dataset bias

Torralba, A. and Efros, A. A · 2011

Cited alongside, same era.

Classification entry

Gunji, N., Higuchi, T., Yasumoto, K., Muraoka, H., Ushiku, Y., Harada, T., and Kuniyoshi, Y · 2012

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Improving neural networks by preventing co-adaptation of feature detectors

Original

Hinton, G.E., Srivastave, N., Krizhevsky, A., Sutskever, I., and Salakhutdinov, R. R · 2012

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Imagenet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., and Hinton, G.E · 2012

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Hybrid coding for selective search

Sande, K., Uijlings, J., Snoek, C., and Smeulders, A · 2012

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Generalized hierarchical matching for sub-category aware object classification

Yan, S., Dong, J., Chen, Q., Song, Z., Pan, Y., Xia, W., Huang, Z., Hua, Y., and Shen, S · 2012

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Multipath sparse coding using hierarchical matching pursuit