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Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years.
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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Learning internal representations by error propagation
D. E. Rumelhart, G. E. Hinton, and R. J. Williams · 1986
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Backpropagation applied to handwritten zip code recognition
Y. LeCun, B. Boser, J. Denker, D. Henderson, R. Howard, W. Hubbard, and L. Jackel · 1989
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Example-based learning for view-based human face detection
K. Sung and T. Poggio · 1994
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Original approach for the localisation of objects in images
R. Vaillant, C. Monrocq, and Y. LeCun · 1994
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Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Neural network-based face detection
H. A. Rowley, S. Baluja, and T. Kanade · 1998
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Modeling the shape of the scene: A holistic representation of the spatial envelope
A. Oliva and A. Torralba · 2001
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Distinctive image features from scale-invariant keypoints
D. Lowe · 2004
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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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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Evaluation of gist descriptors for web-scale image search
M. Douze, H. Jégou, H. Sandhawalia, L. Amsaleg, and C. Schmid · 2009
Earlier work this paper cites.
Recognition using regions
C. Gu, J. J. Lim, P. Arbeláez, and J. Malik · 2009
Earlier work this paper cites.
Category independent object proposals
I. Endres and D. Hoiem · 2010
Earlier work this paper cites.
The PASCAL Visual Object Classes (VOC) Challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
Cited alongside, same era.
Object detection with discriminatively trained part based models
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan · 2010
Cited alongside, same era.
Semantic contours from inverse detectors
B. Hariharan, P. Arbeláez, L. Bourdev, S. Maji, and J. Malik · 2011
Cited alongside, same era.
Adaptive deconvolutional networks for mid and high level feature learning
M. Zeiler, G. Taylor, and R. Fergus · 2011
Cited alongside, same era.
Measuring the objectness of image windows
B. Alexe, T. Deselaers, and V. Ferrari · 2012
Cited alongside, same era.
Semantic segmentation using regions and parts
P. Arbeláez, B. Hariharan, C. Gu, S. Gupta, L. Bourdev, and J. Malik · 2012
Cited alongside, same era.
Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
Closest in time.
Bottom-up segmentation for top-down detection
S. Fidler, R. Mottaghi, A. Yuille, and R. Urtasun · 2013
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Caffe: An open source convolutional architecture for fast feature embedding
Y. Jia · 2013
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Sketch tokens: A learned mid-level representation for contour and object detection
J. J. Lim, C. L. Zitnick, and P. Dollár · 2013
Closest in time.
Histograms of sparse codes for object detection
X. Ren and D. Ramanan · 2013
Closest in time.
Pedestrian detection with unsupervised multi-stage feature learning
P. Sermanet, K. Kavukcuoglu, S. Chintala, and Y. LeCun · 2013
Closest in time.
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Semantic segmentation with second-order pooling
J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu · 2012
Cited alongside, same era.
CPMC: Automatic object segmentation using constrained parametric min-cuts
J. Carreira and C. Sminchisescu · 2012
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Competition 2012 (ILSVRC2012)
J. Deng, A. Berg, S. Satheesh, H. Su, A. Khosla, and L. Fei-Fei · 2012
Cited alongside, same era.
Diagnosing error in object detectors
D. Hoiem, Y. Chodpathumwan, and Q. Dai · 2012
Cited alongside, same era.
ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
Cited alongside, same era.
Crowdsourcing annotations for visual object detection
H. Su, J. Deng, and L. Fei-Fei · 2012
Cited alongside, same era.
Deep neural networks for object detection
C. Szegedy, A. Toshev, and D. Erhan · 2013
Closest in time.
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
Closest in time.
Regionlets for generic object detection
X. Wang, M. Yang, S. Zhu, and Y. Lin · 2013
Closest in time.
Multiscale combinatorial grouping
P. Arbeláez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik · 2014
Closest in time.
Scalable multi-label annotation
J. Deng, O. Russakovsky, J. Krause, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2014
Closest in time.
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, 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
Closest in time.
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman · 2014
Closest in time.