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This paper presents a new state-of-the-art for document image classification and retrieval, using features learned by deep convolutional neural networks (CNNs).
Clustering and classification of document structure-a machine learning approach
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SURF: Speeded Up Robust Features
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N. Chen and D. Blostein · 2007
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From generic to specific deep representations for visual recognition
H. Azizpour, A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson · 2014
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Neural codes for image retrieval
A. Babenko, A. Slesarev, A. Chigorin, and V. S. Lempitsky · 2014
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Deep poselets for human detection
L. D. Bourdev, F. Yang, and R. Fergus · 2014
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Bird species categorization using pose normalized deep convolutional nets
S. Branson, G. V. Horn, S. Belongie, and P. Perona · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Multi-scale orderless pooling of deep convolutional activation features
Y. Gong, L. Wang, R. Guo, and S. Lazebnik · 2014
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Digital libraries and document image retrieval techniques: A survey
S. Marinai, B. Miotti, and G. Soda · 2011
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Learning document structure for retrieval and classification
J. Kumar, P. Ye, and D. Doermann · 2012
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Caffe: An open source convolutional architecture for fast feature embedding
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Unsupervised classification of structurally similar document images
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Convolutional neural networks for document image classification
L. Kang, J. Kumar, P. Ye, Y. Li, and D. Doerman · 2014
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Structural similarity for document image classification and retrieval
J. Kumar, P. Ye, and D. Doermann · 2014
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CNN features off-the-shelf: an astounding baseline for recognition
A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 2014
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ImageNet large scale visual recognition challenge, 2014
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2014
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PANDA: Pose aligned networks for deep attribute modeling
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