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3D object detection from monocular images has proven to be an enormously challenging task, with the performance of leading systems not yet achieving even 10\% of that of LiDAR-based counterparts.
Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
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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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Are we ready for autonomous driving? The KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Are cars just 3D boxes? Jointly estimating the 3D shape of multiple objects
M. Zeeshan Zia, M. Stark, and K. Schindler · 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
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Fast R-CNN
R. Girshick · 2015
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Densebox: Unifying landmark localization with end to end object detection
L. Huang, Y. Yang, Y. Deng, and Y. Yu · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 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, et al · 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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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Vehicle detection from 3D lidar using fully convolutional network
B. Li, T. Zhang, and T. Xia · 2016
Cited alongside, same era.
SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
Fast single shot detection and pose estimation
P. Poirson, P. Ammirato, C.-Y. Fu, W. Liu, J. Kosecka, and A. C. Berg · 2016
Cited alongside, same era.
Training region-based object detectors with online hard example mining
A. Shrivastava, A. Gupta, and R. Girshick · 2016
Cited alongside, same era.
Deep MANTA: A coarse-to-fine many-task network for joint 2D and 3D vehicle analysis from monocular image
Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks
C. C. Pham and J. W. Jeon · 2017
Later among the works it cites.
Frustum pointnets for 3D object detection from RGB-D data
C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas · 2017
Later among the works it cites.
Subcategory-aware convolutional neural networks for object proposals and detection
Y. Xiang, W. Choi, Y. Lin, and S. Savarese · 2017
Later among the works it cites.
Vehicle detection and localization on bird’s eye view elevation images using convolutional neural network
S.-L. Yu, T. Westfechtel, R. Hamada, K. Ohno, and S. Tadokoro · 2017
Later among the works it cites.
BirdNet: a 3D object detection framework from LiDAR information
J. Beltran, C. Guindel, F. M. Moreno, D. Cruzado, F. Garcia, and A. de la Escalera · 2018
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F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulière, and T. Chateau · 2017
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Multi-view 3D object detection network for autonomous driving
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia · 2017
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Fast algorithm using summed area tables with unified layer performing convolution and average pooling
A. Kasagi, T. Tabaru, and H. Tamura · 2017
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SSD-6D: Making rgb-based 3d detection and 6d pose estimation great again
W. Kehl, F. Manhardt, F. Tombari, S. Ilic, and N. Navab · 2017
Cited alongside, same era.
Joint 3D proposal generation and object detection from view aggregation
J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. Waslander · 2017
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
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3D bounding box estimation using deep learning and geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Košecká · 2017
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A general pipeline for 3D detection of vehicles
X. Du, M. H. Ang Jr, S. Karaman, and D. Rus · 2018
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Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2018
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Revisiting small batch training for deep neural networks
D. Masters and C. Luschi · 2018
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Lmnet: Real-time multiclass object detection on CPU using 3D LiDARs
K. Minemura, H. Liau, A. Monrroy, and S. Kato · 2018
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J. Redmon and A. Farhadi · 2018
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Object detection and classification in occupancy grid maps using deep convolutional networks
S. Wirges, T. Fischer, J. B. Frias, and C. Stiller · 2018
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Group normalization
Y. Wu and K. He · 2018
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