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In CNN-based object detection methods, region proposal becomes a bottleneck when objects exhibit significant scale variation, occlusion or truncation.
Robust real-time face detection
P. Viola and M. J. Jones · 2004
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Clustering by passing messages between data points
B. J. Frey and D. Dueck · 2007
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. 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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Discriminative mixture-of-templates for viewpoint classification
C. Gu and X. Ren · 2010
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Ensemble of exemplar-svms for object detection and beyond
T. Malisiewicz, A. Gupta, and A. A. Efros · 2011
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How important are “deformable parts” in the deformable parts model?
S. K. Divvala, A. A. Efros, and M. Hebert · 2012
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 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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Occlusion patterns for object class detection
B. Pepik, M. Stark, P. Gehler, and B. Schiele · 2013
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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 · 2013
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Selective search for object recognition
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders · 2013
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Regionlets for generic object detection
X. Wang, M. Yang, S. Zhu, and Y. Lin · 2013
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Multiscale combinatorial grouping
P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik · 2014
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Enriching visual knowledge bases via object discovery and segmentation
X. Chen, A. Shrivastava, and A. Gupta · 2014
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Learning everything about anything: Webly-supervised visual concept learning
S. K. Divvala, A. Farhadi, and C. Guestrin · 2014
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Fast feature pyramids for object detection
P. Dollár, R. Appel, S. Belongie, and P. Perona · 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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Caffe: Convolutional architecture for fast feature embedding
Multi-view and 3d deformable part models
B. Pepik, M. Stark, P. Gehler, and B. Schiele · 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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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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Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
H. Su, C. R. Qi, Y. Li, and L. J. Guibas · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Deep learning strong parts for pedestrian detection
Y. Tian, P. Luo, X. Wang, and X. Tang · 2015
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Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Integrating context and occlusion for car detection by hierarchical and-or model
B. Li, T. Wu, and S.-C. Zhu · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Beyond pascal: A benchmark for 3d object detection in the wild
Y. Xiang, R. Mottaghi, and S. Savarese · 2014
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Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
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3d object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. G. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
Cited alongside, same era.
Fast r-cnn
R. Girshick · 2015
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Viewpoints and keypoints
S. Tulsiani and J. Malik · 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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Filtered channel features for pedestrian detection
S. Zhang, R. Benenson, and B. Schiele · 2015
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A unified multi-scale deep convolutional neural network for fast object detection
Z. Cai, Q. Fan, R. Feris, and N. Vasconcelos · 2016
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Monocular 3d object detection for autonomous driving
X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, and R. Urtasun · 2016
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Kitti object detection benchmark
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2016
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Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers
F. Yang, W. Choi, and Y. Lin · 2016
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