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Deep convolutional neural networks (CNNs) have had a major impact in most areas of image understanding, including object category detection.
Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
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Multiscale conditional random fields for image labeling
X. He, R. Zemel, and M. C.-P. nán · 2004
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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Discovering objects and their location in images
J. Sivic, B. C. Russel, A. A. Efros, A. Zisserman, and W. T. Freeman · 2005
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Beyond bag of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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The PASCAL visual obiect classes challenge 2007 (VOC2007) results
M. Everingham, A. Zisserman, C. Williams, and L. V. Gool · 2007
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A discriminatively trained, multiscale, deformable part model
P. F. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
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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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Multiple kernels for object detection
A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman · 2009
Cited alongside, same era.
What is an object?
B. Alexe, T. Deselaers, and V. Ferrari · 2010
Cited alongside, same era.
Cpmc: Automatic object segmentation using constrained parametric min-cuts
J. Carreira and C. Sminchisescu · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
Cited alongside, same era.
Multiscale combinatorial grouping
P. Arbeláez, J. Pont-Tuset, J. T. Barron, F. Marques, and J. Malik · 2014
Cited alongside, same era.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Cracking bing and beyond
Q. Zhao and Z. L. an B. Yin · 2014
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Edge boxes: Locating object proposals from edges
C. Zitnick and P. Dollár · 2014
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R. Girshick · 2015
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Cited alongside, same era.
Multi-scale orderless pooling of deep convolutional activation features
Y. Gong, L. Wang, R. Guo, and S. Lazebnik · 2014
Cited alongside, same era.
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What makes for effective detection proposals?
J. Hosang, R. Beneson, P. Dollár, and B. Schiele · 2015
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