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This paper addresses the visualisation of image classification models, learnt using deep Convolutional Networks (ConvNets).
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P. Felzenszwalb, D. Mcallester, and D. Ramanan · 2008
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D. Erhan, Y. Bengio, A. Courville, and P. Vincent · 2009
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How to explain individual classification decisions
D. Baehrens, T. Schroeter, S. Harmeling, M. Kawanabe, K. Hansen, and K.-R. Müller · 2010
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A. Berg, J. Deng, and L. Fei-Fei · 2010
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D. C. Ciresan, U. Meier, and J. Schmidhuber · 2012
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Later among the works it cites.
Building high-level features using large scale unsupervised learning
Q. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G. Corrado, J. Dean, and A. Ng · 2012
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Deep Fisher networks and class saliency maps for object classification and localisation
K. Simonyan, A. Vedaldi, and A. Zisserman · 2013
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2013
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