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How can a single fully convolutional neural network (FCN) perform on object detection? We introduce DenseBox, a unified end-to-end FCN framework that directly predicts bounding boxes and object class confidences through all locations and scales of an image.
Original approach for the localisation of objects in images
R. Vaillant, C. Monrocq, and Y. Le Cun · 1994
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Neural network-based face detection
H. Rowley, S. Baluja, T. Kanade, et al · 1998
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Rotation invariant neural network-based face detection
H. Rowley, S. Baluja, T. Kanade, et al · 1998
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Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
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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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Pictorial structures for object recognition
P. F. Felzenszwalb and D. P. Huttenlocher · 2005
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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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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Fddb: A benchmark for face detection in unconstrained settings
V. Jain and E. G. Learned-Miller · 2010
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Object detection by context and boosted hog-lbp
Y. Yu, J. Zhang, Y. Huang, S. Zheng, W. Ren, C. Wang, K. Huang, and T. Tan · 2010
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Boosted local structured hog-lbp for object localization
J. Zhang, K. Huang, Y. Yu, and T. Tan · 2011
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Crosstalk cascades for frame-rate pedestrian detection
P. Dollár, R. Appel, and W. Kienzle · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 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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Face detection, pose estimation, and landmark localization in the wild
X. Zhu and D. Ramanan · 2012
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Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
Cited alongside, same era.
Segmentation driven object detection with fisher vectors
R. G. Cinbis, J. Verbeek, and C. Schmid · 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.
Articulated human detection with flexible mixtures of parts
Y. Yang and D. Ramanan · 2013
Cited alongside, same era.
Deepedge: A multi-scale bifurcated deep network for top-down contour detection
G. Bertasius, J. Shi, and L. Torresani · 2014
Cited alongside, same era.
Joint training of a convolutional network and a graphical model for human pose estimation
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
Later among the works it cites.
3d object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
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Multi-view face detection using deep convolutional neural networks
S. S. Farfade, M. Saberian, and L.-J. Li · 2015
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R. Girshick · 2015
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A convolutional neural network cascade for face detection
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua · 2015
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T. Devries, K. Biswaranjan, and G. W. Taylor · 2014
Cited alongside, same era.
Scalable object detection using deep neural networks
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov · 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
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
Cited alongside, same era.
Integrating context and occlusion for car detection by hierarchical and-or model
B. Li, T. Wu, and S.-C. Zhu · 2014
Cited alongside, same era.
Heterogeneous multi-task learning for human pose estimation with deep convolutional neural network
S. Li, Z.-Q. Liu, and A. B. Chan · 2014
Cited alongside, same era.
Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection
W. Ouyang, P. Luo, X. Zeng, S. Qiu, Y. Tian, H. Li, S. Yang, Z. Wang, Y. Xiong, C. Qian, et al · 2014
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W. Liu, A. Rabinovich, and A. C. Berg · 2015
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Accurate object detection with location relaxation and regionlets re-localization
C. Long, X. Wang, G. Hua, M. Yang, and Y. Lin · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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What is holding back convnets for detection?
B. Pepik, R. Benenson, T. Ritschel, and B. Schiele · 2015
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Learning to segment object candidates
P. O. Pinheiro, R. Collobert, and P. Dollar · 2015
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You only look once: Unified, real-time object detection
J. Redmon, S. K. Divvala, R. B. Girshick, and A. Farhadi · 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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Data-driven 3d voxel patterns for object category recognition
Y. Xiang, W. Choi, Y. Lin, and S. Savarese · 2015
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Object detection by labeling superpixels
J. Yan, Y. Yu, X. Zhu, Z. Lei, and S. Z. Li · 2015
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Fine-grained evaluation on face detection in the wild
B. Yang, J. Yan, Z. Lei, and S. Z. Li · 2015
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