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In this paper, we introduce the task of multi-view RGB-based 3D object detection as an end-to-end optimization problem.
Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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Understanding indoor scenes using 3d geometric phrases
W. Choi, Y.-W. Chao, C. Pantofaru, and S. Savarese · 2013
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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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Sun rgb-d: A rgb-d scene understanding benchmark suite
S. Song, S. P. Lichtenberg, and J. Xiao · 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
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Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image
F. Chabot, M. Chaouch, J. Rabarisoa, C. Teuliere, and T. Chateau · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017
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3d bounding box estimation using deep learning and geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Kosecka · 2017
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3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
A. Kundu, Y. Li, and J. M. Rehg · 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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Orthographic feature transform for monocular 3d object detection
T. Roddick, A. Kendall, and R. Cipolla · 2018
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Second: Sparsely embedded convolutional detection
Y. Yan, Y. Mao, and B. Li · 2018
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Monofenet: Monocular 3d object detection with feature enhancement networks
W. Bao, B. Xu, and Z. Chen · 2019
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M3d-rpn: Monocular 3d region proposal network for object detection
G. Brazil and X. Liu · 2019
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Mmdetection: Open mmlab detection toolbox and benchmark
K. Chen, J. Wang, J. Pang, Y. Cao, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Xu, et al · 2019
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Mvx-net: Multimodal voxelnet for 3d object detection
V. A. Sindagi, Y. Zhou, and O. Tuzel · 2019
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Fcos: Fully convolutional one-stage object detection
Z. Tian, C. Shen, H. Chen, and T. He · 2019
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Iou loss for 2d/3d object detection
D. Zhou, J. Fang, X. Song, C. Guan, J. Yin, Y. Dai, and R. Yang · 2019
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nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
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Learning depth-guided convolutions for monocular 3d object detection
M. Ding, Y. Huo, H. Yi, Z. Wang, J. Shi, Z. Lu, and P. Luo · 2020
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Rtm3d: Real-time monocular 3d detection from object keypoints for autonomous driving
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J. Hou, A. Dai, and M. Nießner · 2019
Cited alongside, same era.
Perspectivenet: 3d object detection from a single rgb image via perspective points
S. Huang, Y. Chen, T. Yuan, S. Qi, Y. Zhu, and S.-C. Zhu · 2019
Cited alongside, same era.
Multi-view pointnet for 3d scene understanding
M. Jaritz, J. Gu, and H. Su · 2019
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2019
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Accurate monocular 3d object detection via color-embedded 3d reconstruction for autonomous driving
X. Ma, Z. Wang, H. Li, P. Zhang, W. Ouyang, and X. Fan · 2019
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Deep hough voting for 3d object detection in point clouds
C. R. Qi, O. Litany, K. He, and L. J. Guibas · 2019
Cited alongside, same era.
Cooperative holistic scene understanding: Unifying 3d object, layout, and camera pose estimation
S. Huang, S. Qi, Y. Xiao, Y. Zhu, Y. N. Wu, and S.-C. Zhu
Cited in the paper.
P. Li, H. Zhao, P. Liu, and F. Cao · 2020
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Smoke: single-stage monocular 3d object detection via keypoint estimation
Z. Liu, Z. Wu, and R. Tóth · 2020
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Atlas: End-to-end 3d scene reconstruction from posed images
Z. Murez, T. van As, J. Bartolozzi, A. Sinha, V. Badrinarayanan, and A. Rabinovich · 2020
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Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
Y. Nie, X. Han, S. Guo, Y. Zheng, J. Chang, and J. J. Zhang · 2020
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Imvotenet: Boosting 3d object detection in point clouds with image votes
C. R. Qi, X. Chen, O. Litany, and L. J. Guibas · 2020
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Disentangling monocular 3d object detection: From single to multi-class recognition
A. Simonelli, S. R. Bulo, L. Porzi, M. L. Antequera, and P. Kontschieder · 2020
Later among the works it cites.