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Sensor fusion is an essential topic in many perception systems, such as autonomous driving and robotics.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Bo Li, Tianlei Zhang, and Tian Xia · 2016
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Multi-View 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 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
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
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Cyclical Learning Rates for Training Neural Networks
Leslie Smith · 2017
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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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Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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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.
Fusing bird’s eye view lidar point cloud and front view camera image for 3d object detection
Zining Wang, Wei Zhan, and Masayoshi Tomizuka · 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
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Distant vehicle detection using radar and vision
Simon Chadwick, Will Maddern, and Paul Newman · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
Earlier work this paper cites.
Rvnet: Deep sensor fusion of monocular camera and radar for image-based obstacle detection in challenging environments
Vijay John and Seiichi Mita · 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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Decoupled Weight Decay Regularization
Ylya Loshchilov and Frank Hutter · 2019
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A deep learning-based radar and camera sensor fusion architecture for object detection
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, and Markus Lienkamp · 2019
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Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 2019
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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
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Dynamic graph cnn for learning on point clouds
Center-based 3D Object Detection and Tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, and Dragomir Anguelov · 2021
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LiDAR R-CNN: An Efficient and Universal 3D Object Detector
Zhichao Li, Feng Wang, and Naiyan Wang · 2021
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Centerfusion: Center-based radar and camera fusion for 3d object detection
Ramin Nabati and Hairong Qi · 2021
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Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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Frustum convnet: Sliding frustums to aggregate local point-wise features for amodal 3d object detection
Zhixin Wang and Kui Jia · 2019
Cited alongside, same era.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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End-to-end multi-view fusion for 3d object detection in LiDAR point clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 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
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Mmdetection3d: Open-mmlab next-generation platform for general 3d object detection, 2020
MMDetection3D Contributors · 2020
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Is pseudo-lidar needed for monocular 3d object detection?
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon · 2021
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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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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 · 2021
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Object dgcnn: 3d object detection using dynamic graphs
Yue Wang and Justin M. Solomon · 2021
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Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection
Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Zhou Bin, and Liangjun Zhang · 2021
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Multimodal virtual point 3d detection
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Unifying voxel-based representation with transformer for 3d object detection
Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, and Jiaya Jia · 2022
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Anchor detr: Query design for transformer-based detector
Yingming Wang, Xiangyu Zhang, Tong Yang, and Jian Sun · 2022
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TransFusion: Robust Lidar-Camera Fusion for 3d Object Detection with Transformers
Xinge Zhu Qingqiu Huang Yilun Chen Hongbo Fu Xuyang Bai, Zeyu Hu and Chiew-Lan Tai · 2022
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Detrs with collaborative hybrid assignments training, 2022
Zhuofan Zong, Guanglu Song, and Yu Liu · 2022
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