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Learning accurate depth is essential to multi-view 3D object detection.
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Zhu, B.; Jiang, Z.; Zhou, X.; Li, Z.; and Yu, G. 2019 · 1908
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Aanet: Adaptive aggregation network for efficient stereo matching
Xu, H.; and Zhang, J. 2020 · 1968
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Make3D: Learning 3D Scene Structure from a Single Still Image
Saxena, A.; Sun, M.; and Ng, A. Y. 2009 · 2009
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Discrete-Continuous Depth Estimation from a Single Image
Liu, M.; Salzmann, M.; and He, X. 2014 · 2014
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Indoor scene structure analysis for single image depth estimation
Zhuo, W.; Salzmann, M.; He, X.; and Liu, M. 2015 · 2015
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End-to-end learning of geometry and context for deep stereo regression
Kendall, A.; Martirosyan, H.; Dasgupta, S.; Henry, P.; Kennedy, R.; Bachrach, A.; and Bry, A. 2017 · 2017
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Pyramid stereo matching network
Chang, J.-R.; and Chen, Y.-S. 2018 · 2018
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Deep Ordinal Regression Network for Monocular Depth Estimation
Fu, H.; Gong, M.; Wang, C.; Batmanghelich, K.; and Tao, D. 2018 · 2018
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Mvsnet: Depth inference for unstructured multi-view stereo
Yao, Y.; Luo, Z.; Li, S.; Fang, T.; and Quan, L. 2018 · 2018
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How do neural networks see depth in single images?
Dijk, T. v.; and Croon, G. d. 2019 · 2019
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Group-wise correlation stereo network
Guo, X.; Yang, K.; Yang, W.; Wang, X.; and Li, H. 2019 · 2019
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Recurrent mvsnet for high-resolution multi-view stereo depth inference
Yao, Y.; Luo, Z.; Li, S.; Shen, T.; Fang, T.; and Quan, L. 2019 · 2019
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Ga-net: Guided aggregation net for end-to-end stereo matching
Zhang, F.; Prisacariu, V.; Yang, R.; and Torr, P. H. 2019 · 2019
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nuscenes: A multimodal dataset for autonomous driving
Caesar, H.; Bankiti, V.; Lang, A. H.; Vora, S.; Liong, V. E.; Xu, Q.; Krishnan, A.; Pan, Y.; Baldan, G.; and Beijbom, O. 2020 · 2020
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Cascade cost volume for high-resolution multi-view stereo and stereo matching
Gu, X.; Fan, Z.; Zhu, S.; Dai, Z.; Tan, F.; and Tan, P. 2020 · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Philion, J.; and Fidler, S. 2020 · 2020
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Learning inverse depth regression for multi-view stereo with correlation cost volume
MonoRec: Semi-supervised dense reconstruction in dynamic environments from a single moving camera
Wimbauer, F.; Yang, N.; Von Stumberg, L.; Zeller, N.; and Cremers, D. 2021 · 2021
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Center-based 3d object detection and tracking
Yin, T.; Zhou, X.; and Krahenbuhl, P. 2021 · 2021
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Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Bae, G.; Budvytis, I.; and Cipolla, R. 2022 · 2022
Closest in time.
Multi-Frame Self-Supervised Depth with Transformers
Guizilini, V.; Ambruș, R.; Chen, D.; Zakharov, S.; and Gaidon, A. 2022 · 2022
Closest in time.
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Huang, J.; and Huang, G. 2022 · 2022
Closest in time.
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Xu, Q.; and Tao, W. 2020 · 2020
Cited alongside, same era.
AdaBins: Depth Estimation Using Adaptive Bins
Bhat, S. F.; Alhashim, I.; and Wonka, P. 2021 · 2021
Cited alongside, same era.
Depth from camera motion and object detection
Griffin, B. A.; and Corso, J. J. 2021 · 2021
Cited alongside, same era.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Huang, J.; Huang, G.; Zhu, Z.; and Du, D. 2021 · 2021
Cited alongside, same era.
The temporal opportunist: Self-supervised multi-frame monocular depth
Watson, J.; Mac Aodha, O.; Prisacariu, V.; Brostow, G.; and Firman, M. 2021 · 2021
Cited alongside, same era.
Aa-rmvsnet: Adaptive aggregation recurrent multi-view stereo network
Wei, Z.; Zhu, Q.; Min, C.; Chen, Y.; and Wang, G. 2021 · 2021
Cited alongside, same era.
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
Li, Y.; Ge, Z.; Yu, G.; Yang, J.; Wang, Z.; Shi, Y.; Sun, J.; and Li, Z. 2022a
Cited in the paper.
Liu, Y.; Wang, T.; Zhang, X.; and Sun, J. 2022 · 2022
Closest in time.
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Peng, R.; Wang, R.; Wang, Z.; Lai, Y.; and Wang, R. 2022 · 2022
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MonoGround: Detecting Monocular 3D Objects From the Ground
Qin, Z.; and Li, X. 2022 · 2022
Closest in time.
Monocular 3D Object Detection with Depth from Motion
Wang, T.; Pang, J.; and Lin, D. 2022 · 2022
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Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Wang, Y.; Guizilini, V. C.; Zhang, T.; Wang, Y.; Zhao, H.; and Solomon, J. 2022 · 2022
Closest in time.
Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Xu, G.; Cheng, J.; Guo, P.; and Yang, X. 2022 · 2022
Closest in time.