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The great progress of 3D object detectors relies on large-scale data and 3D annotations.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Daniel Scharstein and Richard Szeliski · 2002
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Neural 3d mesh renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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Learning to predict 3d objects with an interpolation-based differentiable renderer
Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 2019
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Adascale: Towards real-time video object detection using adaptive scaling
Ting-Wu Chin, Ruizhou Ding, and Diana Marculescu · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Soft rasterizer: Differentiable rendering for unsupervised single-view mesh reconstruction
Shichen Liu, Weikai Chen, Tianye Li, and Hao Li · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Fcos3d: Fully convolutional one-stage monocular 3d object detection
Tai Wang, Xinge Zhu, Jiangmiao Pang, and Dahua Lin · 2021
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The temporal opportunist: Self-supervised multi-frame monocular depth
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel Brostow, and Michael Firman · 2021
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FGR: frustum-aware geometric reasoning for weakly supervised 3d vehicle detection
Yi Wei, Shang Su, Jiwen Lu, and Jie Zhou · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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Multi-view depth estimation by fusing single-view depth probability with multi-view geometry
Gwangbin Bae, Ignas Budvytis, and Roberto Cipolla · 2022
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Learning 3d object shape and layout without 3d supervision
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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Cited alongside, same era.
Weakly supervised 3d object detection from lidar point cloud
Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, and Dengxin Dai · 2020
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3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
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Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, and Stan Z Li · 2020
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Ota: Optimal transport assignment for object detection
Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, and Jian Sun · 2021
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Georgia Gkioxari, Nikhila Ravi, and Justin Johnson · 2022
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Bevstereo: Enhancing depth estimation in multi-view 3d object detection with dynamic temporal stereo
Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, and Zeming Li · 2022
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Eliminating spatial ambiguity for weakly supervised 3d object detection without spatial labels
Haizhuang Liu, Huimin Ma, Yilin Wang, Bochao Zou, Tianyu Hu, Rongquan Wang, and Jianshen Chen · 2022
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Weakm3d: Towards weakly supervised monocular 3d object detection
Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, and Deng Cai · 2022
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Probabilistic and geometric depth: Detecting objects in perspective
Tai Wang, ZHU Xinge, Jiangmiao Pang, and Dahua Lin · 2022
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Real-time object detection for streaming perception
Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, and Jian Sun · 2022
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Dbq-ssd: Dynamic ball query for efficient 3d object detection
Jinrong Yang, Lin Song, Songtao Liu, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, and Nanning Zheng · 2022
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Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds
Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, and Yulan Guo · 2022
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