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This paper aims at high-accuracy 3D object detection in autonomous driving scenario.
A multilevel mixture-of-experts framework for pedestrian classification
M. Enzweiler and D. M. Gavrila · 2011
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Segmentation as selective search for object recognition
K. Van de Sande, J. Uijlings, T. Gevers, and A. Smeulders · 2011
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Cpmc: Automatic object segmentation using constrained parametric min-cuts
J. Carreira and C. Sminchisescu · 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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Detailed 3d representations for object recognition and modeling
M. Z. Zia, M. Stark, B. Schiele, and K. Schindler · 2013
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Sliding shapes for 3d object detection in depth images
S. Song and J. Xiao · 2014
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Are cars just 3d boxes? jointly estimating the 3d shape of multiple objects
M. Z. Zia, M. Stark, and K. Schindler · 2014
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Edge boxes: Locating object proposals from edges
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. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
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Fast R-CNN
R. Girshick · 2015
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What makes for effective detection proposals?
J. Hosang, R. Benenson, P. Dollár, 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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Joint sfm and detection cues for monocular 3d localization in road scenes
S. Song and M. Chandraker · 2015
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H. Su, S.Maji, E.Kalogerakis, and E. Learned-Miller · 2015
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D. Z. Wang and I. Posner · 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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Deep sliding shapes for amodal 3d object detection in rgb-d images
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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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A continuous occlusion model for road scene understanding
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S. Song and J. Xiao · 2016
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Subcategory-aware convolutional neural networks for object proposals and detection
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Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers
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3d object proposals using stereo imagery for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, H. Ma, S. Fidler, and R. Urtasun · 2017
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3d fully convolutional network for vehicle detection in point cloud
B. Li · 2017
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