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Bird's eye view (BEV) representation has emerged as a dominant solution for describing 3D space in autonomous driving scenarios.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
Earlier work this paper cites.
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.
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Cyclical learning rates for training neural networks
Leslie N Smith · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens Van Der Maaten · 2018
Earlier work this paper cites.
Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L Waslander · 2018
Earlier work this paper cites.
Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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.
Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
Earlier work this paper cites.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
Fast point r-cnn
Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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.
Stereo r-cnn based 3d object detection for autonomous driving
Peiliang Li, Xiaozhi Chen, and Shaojie Shen · 2019
Earlier work this paper cites.
Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Bin Yang, Yun Chen, Rui Hu, and Raquel Urtasun · 2019
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
Earlier work this paper cites.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Earlier work this paper cites.
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
Earlier work this paper cites.
Std: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 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.
Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Earlier work this paper cites.
Point-gnn: Graph neural network for 3d object detection in a point cloud
Weijing Shi and Raj Rajkumar · 2020
Earlier work this paper cites.
Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
Cited alongside, same era.
Cspnet: A new backbone that can enhance learning capability of cnn
Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, and I-Hau Yeh · 2020
Cited alongside, same era.
3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
Joint 3d instance segmentation and object detection for autonomous driving
Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, and Ruigang Yang · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 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
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Petr: Position embedding transformation for multi-view 3d object detection
Yingfei Liu, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
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Pillarnet: Real-time and high-performance pillar-based 3d object detection
Guangsheng Shi, Ruifeng Li, and Chao Ma · 2022
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Graph r-cnn: Towards accurate 3d object detection with semantic-decorated local graph
Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, and Deng Cai · 2022
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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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Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, and Longbo Huang · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Towards a weakly supervised framework for 3d point cloud object detection and annotation
Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Yunde Jia, and Luc Van Gool · 2021
Cited alongside, same era.
Pvgnet: A bottom-up one-stage 3d object detector with integrated multi-level features
Zhenwei Miao, Jikai Chen, Hongyu Pan, Ruiwen Zhang, Kaixuan Liu, Peihan Hao, Jun Zhu, Yang Wang, and Xin Zhan · 2021
Cited alongside, same era.
4d-net for learned multi-modal alignment
AJ Piergiovanni, Vincent Casser, Michael S Ryoo, and Anelia Angelova · 2021
Cited alongside, same era.
Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
Cited alongside, same era.
Depth-conditioned dynamic message propagation for monocular 3d object detection
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, and Li Zhang · 2021
Cited alongside, same era.
Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, and Wenguan Wang · 2022
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Proposalcontrast: Unsupervised pre-training for lidar-based 3d object detection
Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, and Wenguan Wang · 2022
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Cat-det: Contrastively augmented transformer for multi-modal 3d object detection
Yanan Zhang, Jiaxin Chen, and Di Huang · 2022
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Objectfusion: Multi-modal 3d object detection with object-centric fusion
Qi Cai, Yingwei Pan, Ting Yao, Chong-Wah Ngo, and Tao Mei · 2023
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Futr3d: A unified sensor fusion framework for 3d detection
Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao · 2023
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Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, and Jiaya Jia · 2023
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Focalformer3d: Focusing on hard instance for 3d object detection
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, and Jose Alvarez · 2023
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Clustering based point cloud representation learning for 3d analysis
Tuo Feng, Wenguan Wang, Xiaohan Wang, Yi Yang, and Qinghua Zheng · 2023
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Msf: Motion-guided sequential fusion for efficient 3d object detection from point cloud sequences
Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, and Lei Zhang · 2023
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Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion
Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yucheng Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, et al · 2023
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Lwsis: Lidar-guided weakly supervised instance segmentation for autonomous driving
Xiang Li, Junbo Yin, Botian Shi, Yikang Li, Ruigang Yang, and Jianbing Shen · 2023
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Bird’s-eye-view scene graph for vision-language navigation
Rui Liu, Xiaohan Wang, Wenguan Wang, and Yi Yang · 2023
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xingyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2023
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Graphalign: Enhancing accurate feature alignment by graph matching for multi-modal 3d object detection
Ziying Song, Haiyue Wei, Lin Bai, Lei Yang, and Caiyan Jia · 2023
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Unitr: A unified and efficient multi-modal transformer for bird’s-eye-view representation
Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, and Liwei Wang · 2023
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Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud
Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, and Jianbing Shen · 2023
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Virtual sparse convolution for multimodal 3d object detection
Hai Wu, Chenglu Wen, Shaoshuai Shi, Xin Li, and Cheng Wang · 2023
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Sparsefusion: Fusing multi-modal sparse representations for multi-sensor 3d object detection
Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, and Wei Zhan · 2023
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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
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Octr: Octree-based transformer for 3d object detection
Chao Zhou, Yanan Zhang, Jiaxin Chen, and Di Huang · 2023
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Curricular object manipulation in lidar-based object detection
Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, and Jian Yang · 2023
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Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds
Tuo Feng, Ruijie Quan, Xiaohan Wang, Wenguan Wang, and Yi Yang · 2024
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Lsknet: Towards effective and efficient 3d perception with large sparse kernels
Tuo Feng, Wenguan Wang, Fan Ma, and Yi Yang · 2024
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Di-v2x: Learning domain-invariant representation for vehicle-infrastructure collaborative 3d object detection
Xiang Li, Junbo Yin, Wei Li, Cheng-Zhong Xu, Ruigang Yang, and Jianbing Shen · 2024
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