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Recent advances in 3D object detection (3DOD) have obtained remarkably strong results for LiDAR-based models.
Distilling the Knowledge in a Neural Network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2014
Earlier work this paper cites.
Fast R-CNN
Ross Girshick · 2015
Earlier work this paper cites.
Overcoming Catastrophic Forgetting in Neural Networks
J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, D. Hassabis, C. Clopath, D. Kumarana, and R. Hadsella · 2016
Earlier work this paper cites.
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
Image-To-Image Translation With Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
Earlier work this paper cites.
Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2017
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
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CornerNet: Detecting Objects as Paired Keypoints
Hei Law and Jia Deng · 2018
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Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter · 2018
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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.
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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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, et al · 2019
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Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 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
Earlier work this paper cites.
MMDetection3D: OpenMMLab next-generation platform for general 3D object detection
MMDetection3D Contributors · 2020
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Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
Jonah Philion and Sanja Fidler · 2020
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, and Aleksei Timofeev · 2020
Earlier work this paper cites.
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
Earlier work this paper cites.
General Instance Distillation for Object Detection
Xing Dai, Zeren Jiang, Zhao Wu, Yiping Bao, Zhicheng Wang, Si Liu, and Erjin Zhou · 2021
Cited alongside, same era.
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-Based 3D Detector
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2021
Cited alongside, same era.
BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
Cited alongside, same era.
3D-to-2D Distillation for Indoor Scene Parsing
Zhengzhe Liu, Xiaojuan Qi, and Chi-Wing Fu · 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.
Categorical Depth Distribution Network for Monocular 3D Object Detection
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, and Mingxing Tan · 2022
Later among the works it cites.
BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
Later among the works it cites.
Multi-view LiDAR Guided Monocular 3D Object Detection
Junjie Liu and Weiyu Yu · 2022
Later among the works it cites.
PETR: Position Embedding Transformation for Multi-View 3D Object Detection
Yingfei Liu, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
Later among the works it cites.
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Qi Gao, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
Later among the works it cites.
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Cody Reading, Ali Harakeh, Julia Chae, and Steven L. Waslander · 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.
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.
Towards Efficient 3D Object Detection with Knowledge Distillation
Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, and Xiaojuan Qi · 2021
Cited alongside, same era.
Center-based 3D Object Detection and Tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 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.
FUTR3D: A Unified Sensor Fusion Framework for 3D Detection
Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao · 2022
Cited alongside, same era.
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han · 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.
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Zengran Wang, Chen Min, Zheng Ge, Yinhao Li, Zeming Li, Hongyu Yang, and Di Huang · 2022
Later among the works it cites.
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, and Jiwen Lu · 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
Later among the works it cites.
Focal and Global Knowledge Distillation for Detectors
Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, and Chun Yuan · 2022
Later among the works it cites.
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, and Kaisheng Ma · 2022
Later among the works it cites.
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds
Wu Zheng, Li Jiang, Fanbin Lu, Yangyang Ye, and Chi-Wing Fu · 2022
Later among the works it cites.
Cross-View Transformers for Real-Time Map-View Semantic Segmentation
Brady Zhou and Philipp Krähenbühl · 2022
Later among the works it cites.
SGM3D: Stereo Guided Monocular 3D Object Detection
Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, and Jianfeng Feng · 2022
Later among the works it cites.
PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, and Yu-Gang Jiang · 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.