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3D object detection from images, one of the fundamental and challenging problems in autonomous driving, has received increasing attention from both industry and academia in recent years.
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2022
Closest in time.
Z. Chong, X. Ma, H. Zhang, Y. Yue, H. Li, Z. Wang, and W. Ouyang, “Monodistill: Learning spatial features for monocular 3d object detection,” in ICLR , 2022
2022
Closest in time.
L. Peng, S. Yan, B. Wu, Z. Yang, X. He, and D. Cai, “Weakm3d: Towards weakly supervised monocular 3d object detection,” in ICLR , 2022
2022
Closest in time.
X. Liu, N. Xue, and T. Wu, “Learning auxiliary monocular contexts helps monocular 3d object detection,” in AAAI , 2022
2022
Closest in time.
Y. You, K. Z. Luo, X. Chen, J. Chen, W.-L. Chao, W. Sun, B. Hariharan, M. Campbell, and K. Q. Weinberger, “Hindsight is 20/20: Leveraging past traversals to aid 3d perception,” in ICLR , 2022
2022
Closest in time.