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We introduce a framework for multi-camera 3D object detection.
The hungarian method for the assignment problem
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SparseR-CNN: End-to-end object detection with learnable proposals
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SSD: Single shot multibox detector
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You only look once: Unified, real-time object detection
J. Redmon, S. K. Divvala, R. B. Girshick, and A. Farhadi · 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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End-to-end people detection in crowded scenes
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Layer normalization
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Attention is all you need
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Mask R-CNN
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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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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
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
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Focal Loss for Dense Object Detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
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Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
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Orthographic feature transform for monocular 3d object detection
T. Roddick, A. Kendall, and R. Cipolla · 2018
Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2019
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Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
B. Zhu, Z. Jiang, X. Zhou, Z. Li, and G. Yu · 2019
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Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Y. Wang, W.-L. Chao, D. Garg, B. Hariharan, M. Campbell, and K. Weinberger · 2019
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3d packing for self-supervised monocular depth estimation
V. Guizilini, R. Ambrus, S. Pillai, A. Raventos, and A. Gaidon · 2020
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Demystifying pseudo-lidar for monocular 3d object detection, 12 2020
A. Simonelli, S. Rota Bulò, L. Porzi, P. Kontschieder, and E. Ricci · 2020
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Deep layer aggregation
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X. Zhou, D. Wang, and P. Krähenbühl · 2019
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FCOS: Fully convolutional one-stage object detection
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Digging into self-supervised monocular depth prediction
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From big to small: Multi-scale local planar guidance for monocular depth estimation
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Monocular 3d object detection leveraging accurate proposals and shape reconstruction
J. Ku, A. D. Pon, and S. L. Waslander · 2019
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N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko · 2020
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Monocular differentiable rendering for self-supervised 3d object detection
D. Beker, H. Kato, M. A. Morariu, T. Ando, T. Matsuoka, W. Kehl, and A. Gaidon · 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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FCOS3D: Fully convolutional one-stage monocular 3d object detection
T. Wang, X. Zhu, J. Pang, and D. Lin · 2021
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Object dgcnn: 3d object detection using dynamic graphs
Anonymous · 2021
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Deformable {detr}: Deformable transformers for end-to-end object detection
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Is pseudo-lidar needed for monocular 3d object detection?
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Probabilistic and geometric depth: Detecting objects in perspective
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Center-based 3d object detection and tracking
T. Yin, X. Zhou, and P. Krähenbühl · 2021
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