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Deep Convolutional Neural Networks (CNNs) have gained great success in image classification and object detection.
The representation and matching of pictorial structures
E. R. Fischler, Martin A · 1973
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
K. Fukushima · 1980
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Principal component analysis
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Backpropagation applied to handwritten zip code recognition
Y. Lecun · 1989
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A maximum entropy approach to natural language processing
A. L. Berger, V. J. D. Pietra, and S. A. D. Pietra · 1996
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Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Efficient matching of pictorial structures
P. F. Felzenszwalb and D. P. Huttenlocher · 2000
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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Pictorial structures for object recognition
P. F. Felzenszwalb and D. P. Huttenlocher · 2005
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Reducing the dimensionality of data with neural networks
G. Hinton and R. Salakhutdinov · 2006
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The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2007
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Object detection with discriminatively trained part based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Visual recognition using embedded feature selection for curvature self-similarity
A. Eigenstetter and B. Ommer · 2012
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Imagenet large scale visual recognition competition 2012 (ilsvrc2012)
S. S. H. S. A. K. F.-F. L. Jia Deng, Alex Berg · 2012
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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 invariant representations with local transformations
K. Sohn and H. Lee · 2012
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
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Regionlets for generic object detection
X. Wang, M. Yang, S. Zhu, and Y. Lin · 2013
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BING: Binarized normed gradients for objectness estimation at 300fps
M.-M. Cheng, Z. Zhang, W.-Y. Lin, and P. H. S. Torr · 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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Learning rich features from RGB-D images for object detection and segmentation
S. Gupta, R. Girshick, P. Arbeláez, and J. Malik · 2014
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Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2014
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Bottom-up segmentation for top-down detection
S. Fidler, R. Mottaghi, A. Yuille, and R. Urtasun · 2013
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Direct modeling of complex invariances for visual object features
K. Y. Hui · 2013
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Caffe: An open source convolutional architecture for fast feature embedding
Y. Jia · 2013
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Joint deep learning for pedestrian detection
W. Ouyang and X. Wang · 2013
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Detecting avocados to zucchinis: what have we done, and where are we going?
O. Russakovsky, J. Deng, Z. Huang, A. C. Berg, and L. Fei-Fei · 2013
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Deep neural networks for object detection
C. Szegedy, A. Toshev, and D. Erhan · 2013
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Do convnets learn correspondence?
J. Long, N. Zhang, and T. Darrell · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Part-based R-CNNs for fine-grained category detection
N. Zhang, J. Donahue, R. Girshick, and T. Darrell · 2014
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Generic object detection with dense neural patterns and regionlets
W. Y. Zou, X. Wang, M. Sun, and Y. Lin · 2014
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