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Multi-sensor modal fusion has demonstrated strong advantages in 3D object detection tasks.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
Earlier work this paper cites.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Earlier work this paper cites.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Earlier work this paper cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Earlier work this paper cites.
Automotive radar dataset for deep learning based 3d object detection
Michael Meyer and Georg Kuschk · 2019
Earlier work this paper cites.
Attentional pointnet for 3d-object detection in point clouds
Anshul Paigwar, Ozgur Erkent, Christian Wolf, and Christian Laugier · 2019
Earlier work this paper cites.
Class-balanced grouping and sampling for point cloud 3d object detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
MMDetection3D: OpenMMLab next-generation platform for general 3D object detection
MMDetection3D Contributors · 2020
Earlier work this paper cites.
Centermask: Real-time anchor-free instance segmentation
Youngwan Lee and Jongyoul Park · 2020
Earlier work this paper cites.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
Cited alongside, same era.
Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
Cited alongside, same era.
Infofocus: 3d object detection for autonomous driving with dynamic information modeling
Jun Wang, Shiyi Lan, Mingfei Gao, and Larry S Davis · 2020
Cited alongside, same era.
Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
Cited alongside, same era.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, and Dalong Du · 2021
Cited alongside, same era.
Bevfusion: A simple and robust lidar-camera fusion framework
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, and Zhi Tang · 2022
Later among the works it cites.
Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion
Xuewu Lin, Tianwei Lin, Zixiang Pei, Lichao Huang, and Zhizhong Su · 2022
Later among the works it cites.
Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection
Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris Kitani, Masayoshi Tomizuka, and Wei Zhan · 2022
Later among the works it cites.
Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
Later among the works it cites.
Deepinteraction: 3d object detection via modality interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, and Li Zhang · 2022
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Graph convolutional networks for 3d object detection on radar data
Michael Meyer, Georg Kuschk, and Sven Tomforde · 2021
Cited alongside, same era.
Is pseudo-lidar needed for monocular 3d object detection?
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon · 2021
Cited alongside, same era.
Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection
Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Zhou Bin, and Liangjun Zhang · 2021
Cited alongside, same era.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
Cited alongside, same era.
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
Cited alongside, same era.
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Junjie Huang and Guan Huang · 2022
Cited alongside, same era.
Dn-detr: Accelerate detr training by introducing query denoising
Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M Ni, and Lei Zhang
Cited in the paper.
Later among the works it cites.
Hongxiang Cai, Zeyuan Zhang, Zhenyu Zhou, Ziyin Li, Wenbo Ding, and Jiuhua Zhao · 2023
Closest in time.
Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, and Jiaya Jia · 2023
Closest in time.
Bevdepth: Acquisition of reliable depth for multi-view 3d object detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, and Zeming Li · 2023
Closest in time.
Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L Rus, and Song Han · 2023
Closest in time.
Cross modal transformer via coordinates encoding for 3d object dectection
Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, and Xiangyu Zhang · 2023
Closest in time.
Benchmarking the robustness of lidar-camera fusion for 3d object detection
Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, and Xiaodan Liang · 2023
Closest in time.