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In this paper, we propose multi-stage and deformable deep convolutional neural networks for object detection.
Distinctive image features from scale-invarian keypoints
D. Lowe · 2004
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Robust real-time face detection
P. Viola and M. Jones · 2004
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Robust object detection via soft cascade
L. Bourdev and J. Brandt · 2005
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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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Detecting pedestrians using patterns of motion and appearance
P. Viola, M. J. Jones, and D. Snow · 2005
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Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors
B. Wu and R. Nevatia · 2005
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A fast learning algorithm for deep belief nets
G. E. Hinton, S. Osindero, and Y. Teh · 2006
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Reducing the dimensionality of data with neural networks
G. E. Hinton and R. R. Salakhutdinov · 2006
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Multiple object class detection with a generative model
K. Mikolajczyk, B. Leibe, and B. Schiele · 2006
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Multiple object class detection with a generative model
K. Mikolajczyk, B. Leibe, and B. Schiele · 2006
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Unsupervised learning of invariant feature hierarchies with applications to object recognition
M. Ranzato, F. J. Huang, Y.-L. Boureau, and Y. Lecun · 2007
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Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors
B. Wu and R. Nevatia · 2007
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Classification using intersection kernel support vector machines is efficient
S. Maji, A. C. Berg, and J. Malik · 2008
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Learning deep architectures for AI
Y. Bengio · 2009
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Poselets: body part detectors trained using 3D human pose annotations
L. Bourdev and J. Malik · 2009
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Discriminative models for multi-class object layout
C. Desai, D. Ramanan, and C. Fowlkes · 2009
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An empirical study of context in object detection
S. K. Divvala, D. Hoiem, J. H. Hays, A. A. Efros, and M. Hebert · 2009
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Integral channel features
P. Dollár, Z. Tu, P. Perona, and S. Belongie · 2009
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What is the best multi-stage architecture for object recognition?
K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y. LeCun · 2009
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Stacks of convolutional restricted boltzmann machines for shift-invariant feature learning
M. Norouzi, M. Ranjbar, and G. Mori · 2009
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Multiple kernels for object detection
A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman · 2009
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Multiple kernels for object detection
A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman · 2009
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On detection of multiple object instances using hough transforms
O. Barinova, V. Lempitsky, and P. Kohli · 2010
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Category independent object proposals
I. Endres and D. Hoiem · 2010
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Cascade object detection with deformable part models
P. Felzenszwalb, R. Girshick, and D. McAllester · 2010
Cited alongside, same era.
Object detection with discriminatively trained part based models
P. Felzenszwalb, R. B. Grishick, D.McAllister, and D. Ramanan · 2010
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Multi-class object localization by combining local contextual interactions
C. Galleguillos, B. McFee, S. Belongie, and G. Lanckriet · 2010
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Multiresolution models for object detection
D. Park, D. Ramanan, and C. Fowlkes · 2010
Cited alongside, same era.
Multi-pedestrian detection in crowded scenes: A global view
J. Yan, Z. Lei, D. Yi, and S. Z. Li · 2012
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Recognizing proxemics in personal photos
Y. Yang, S. Baker, A. Kannan, and D. Ramanan · 2012
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Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
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Joint deep learning for pedestrian detection
W. Ouyang and X. Wang · 2013
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Single-pedestrian detection aided by multi-pedestrian detection
W. Ouyang and X. Wang · 2013
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Modeling mutual visibility relationship in pedestrian detection
W. Ouyang, X. Zeng, and X. Wang · 2013
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Modeling mutual context of object and human pose in human-object interaction activities
B. Yao and L. Fei-Fei · 2010
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Latent hierarchical structural learning for object detection
L. Zhu, Y. Chen, A. Yuille, and W. Freeman · 2010
Cited alongside, same era.
Sum-product networks: A new deep architecture
H. Poon and P. Domingos · 2011
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Recognition using visual phrases
M. A. Sadeghi and A. Farhadi · 2011
Cited alongside, same era.
Segmentation as selective search for object recognition
A. Smeulders, T. Gevers, N. Sebe, and C. Snoek · 2011
Cited alongside, same era.
Contextualizing object detection and classification
Z. Song, Q. Chen, Z. Huang, Y. Hua, and S. Yan · 2011
Cited alongside, same era.
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2013
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Hybrid deep learning for computing face similarities
Y. Sun, X. Wang, and X. Tang · 2013
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Learning people detectors for tracking in crowded scenes
S. Tang, M. Andriluka, A. Milan, K. Schindler, S. Roth, and B. Schiele · 2013
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Visualizing and understanding convolutional neural networks
M. D. Zeiler and R. Fergus · 2013
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Multi-stage contextual deep learning for pedestrian detection
X. Zeng, W. Ouyang, and X. Wang · 2013
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Multiscale combinatorial grouping
P. Arbeláez, J. Pont-Tuset, J. T. Barron, F. Marques, and J. Malik · 2014
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Bing: Binarized normed gradients for objectness estimation at 300fps
M.-M. Cheng, Z. Zhang, W.-Y. Lin, and P. Torr · 2014
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Scalable object detection using deep neural networks
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov · 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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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Network in network
M. Lin, Q. Chen, and S. Yan · 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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Deep inside convolutional networks: Visualising image classification models and saliency maps
K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 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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