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Monocular 3D object detection is well-known to be a challenging vision task due to the loss of depth information; attempts to recover depth using separate image-only approaches lead to unstable and noisy depth estimates, harming 3D detections.
Photo tourism: exploring photo collections in 3d
N. Snavely, S. M. Seitz, and R. Szeliski · 2006
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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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The pascal visual object classes (voc) challenge, 2010
M. Everingham, L. V. Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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M. Z. Zia, M. Stark, B. Schiele, and K. Schindler · 2011
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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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Analyzing 3d objects in cluttered images
M. Hejrati and D. Ramanan · 2012
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Reconstructing 3d human pose from 2d image landmarks
V. Ramakrishna, T. Kanade, and Y. Sheikh · 2012
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Vision meets robotics: The kitti dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
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Parsing ikea objects: Fine pose estimation
J. J. Lim, H. Pirsiavash, and A. Torralba · 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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Explicit occlusion modeling for 3d object class representations
M. Zeeshan Zia, M. Stark, and K. Schindler · 2013
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Detailed 3d representations for object modeling and recognition
M. Z. Zia, M. Stark, B. Schiele, and K. Schindler · 2013
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Microsoft coco: Common objects in context, 2014
T.-Y. Lin, M. Maire, S. Belongie, L. Bourdev, R. Girshick, J. Hays, P. Perona, D. Ramanan, C. L. Zitnick, and P. Dollár · 2014
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Jointly optimizing 3d model fitting and fine-grained classification
Y.-L. Lin, V. I. Morariu, W. Hsu, and L. S. Davis · 2014
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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
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Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
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Deep residual learning for image recognition, 2015
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Ssd: Single shot multibox detector, 2015
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2015
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You only look once: Unified, real-time object detection, 2015
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks, 2015
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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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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R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
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Feature pyramid networks for object detection, 2016
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2016
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
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PCPNet: Learning local shape properties from raw point clouds
P. Guerrero, Y. Kleiman, M. Ovsjanikov, and N. J. Mitra · 2018
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Pointwise convolutional neural networks, 2017
B.-S. Hua, M.-K. Tran, and S.-K. Yeung · 2018
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Pointpillars: Fast encoders for object detection from point clouds, 2018
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2018
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Cited alongside, same era.
Single image 3d interpreter network
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman · 2016
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Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image, 2017
F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulière, and T. Chateau · 2017
Cited alongside, same era.
Multi-view 3d object detection network for autonomous driving
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia · 2017
Cited alongside, same era.
Unsupervised monocular depth estimation with left-right consistency
C. Godard, O. Mac Aodha, and G. J. Brostow · 2017
Cited alongside, same era.
Mask r-cnn, 2017
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
Joint 3d proposal generation and object detection from view aggregation, 2017
J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. Waslander · 2017
Cited alongside, same era.
Y. Li, R. Bu, M. Sun, and B. Chen · 2018
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Path aggregation network for instance segmentation, 2018
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
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Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes
P. Marion, P. R. Florence, L. Manuelli, and R. Tedrake · 2018
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Frustum pointnets for 3d object detection from rgb-d data
C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas · 2018
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Monogrnet: A geometric reasoning network for monocular 3d object localization
Z. Qin, J. Wang, and Y. Lu · 2018
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Orthographic feature transform for monocular 3d object detection
T. Roddick, A. Kendall, and R. Cipolla · 2018
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Discovery of latent 3d keypoints via end-to-end geometric reasoning
S. Suwajanakorn, N. Snavely, J. J. Tompson, and M. Norouzi · 2018
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Dynamic graph cnn for learning on point clouds
Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon · 2018
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Multi-level fusion based 3d object detection from monocular images
B. Xu and Z. Chen · 2018
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
D. Xu, D. Anguelov, and A. Jain · 2018
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Second: Sparsely embedded convolutional detection
Y. Yan, Y. Mao, and B. Li · 2018
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Pixor: Real-time 3d object detection from point clouds
B. Yang, W. Luo, and R. Urtasun · 2018
Later among the works it cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Y. Zhou and O. Tuzel · 2018
Later among the works it cites.