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We present YOLO, a new approach to object detection.
A general framework for object detection
C. P. Papageorgiou, M. Oren, and T. Poggio · 1998
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Object recognition from local scale-invariant features
D. G. Lowe · 1999
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Robust real-time object detection
P. Viola and M. Jones · 2001
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An extended set of haar-like features for rapid object detection
R. Lienhart and J. Maydt · 2002
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Robust real-time face detection
P. Viola and M. J. Jones · 2004
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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Learning to localize objects with structured output regression
M. B. Blaschko and C. H. Lampert · 2008
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Poselets: Body part detectors trained using 3d human pose annotations
L. Bourdev and J. Malik · 2009
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Region-based segmentation and object detection
S. Gould, T. Gao, and D. Koller · 2009
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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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Improving neural networks by preventing co-adaptation of feature detectors
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov · 2012
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Diagnosing error in object detectors
D. Hoiem, Y. Chodpathumwan, and Q. Dai · 2012
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Fast, accurate detection of 100,000 object classes on a single machine
T. Dean, M. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan, J. Yagnik, et al · 2013
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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 · 2013
Cited alongside, same era.
M. Lin, Q. Chen, and S. Yan · 2013
Cited alongside, same era.
Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2013
Cited alongside, same era.
Selective search for object recognition
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders · 2013
Cited alongside, same era.
Towards unified object detection and semantic segmentation
J. Dong, Q. Chen, S. Yan, and A. Yuille · 2014
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
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The fastest deformable part model for object detection
J. Yan, Z. Lei, L. Wen, and S. Z. Li · 2014
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Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
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H. Cai, Q. Wu, T. Corradi, and P. Hall · 2015
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
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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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Detecting people in cubist art
S. Ginosar, D. Haas, T. Brown, and J. Malik · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Cited alongside, same era.
Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, 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
Cited alongside, same era.
Real-time grasp detection using convolutional neural networks
J. Redmon and A. Angelova · 2014
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30hz object detection with dpm v5
M. A. Sadeghi and D. Forsyth · 2014
Cited alongside, same era.
S. Gidaris and N. Komodakis · 2015
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R. B. Girshick · 2015
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K. Lenc and A. Vedaldi · 2015
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Models accuracy on imagenet 2012 val
D. Mishkin · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Object detection networks on convolutional feature maps
S. Ren, K. He, R. B. Girshick, X. Zhang, and J. Sun · 2015
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ImageNet Large Scale Visual Recognition Challenge
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 · 2015
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Darknet: Open source neural networks in c
J. Redmon · 2016
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