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Monocular 3D object detection (Mono3D) holds noteworthy promise for autonomous driving applications owing to the cost-effectiveness and rich visual context of monocular camera sensors.
Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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3d object proposals for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G Berneshawi, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2015
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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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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2018
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Deep ordinal regression network for monocular depth estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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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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Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel Lopez-Antequera, and Peter Kontschieder · 2019
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Deformable convnets v2: More deformable, better results
Xizhou Zhu, Han Hu, Stephen Lin, and Jifeng Dai · 2019
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Kinematic 3d object detection in monocular video
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, and Bernt Schiele · 2020
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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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Learning depth-guided convolutions for monocular 3d object detection
Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, and Ping Luo · 2020
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Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, and Jian Yang · 2020
Cited alongside, same era.
Improved knowledge distillation via teacher assistant
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, and Hassan Ghasemzadeh · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Voxel r-cnn: Towards high performance voxel-based 3d object detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li · 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.
Bevdistill: Cross-modal bev distillation for multi-view 3d object detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, and Feng Zhao · 2023
Later among the works it cites.
Monouni: A unified vehicle and infrastructure-side monocular 3d object detection network with sufficient depth clues
Jia Jinrang, Zhenjia Li, and Yifeng Shi · 2023
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Predict to detect: Prediction-guided 3d object detection using sequential images
Sanmin Kim, Youngseok Kim, In-Jae Lee, and Dongsuk Kum · 2023
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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
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Petrv2: A unified framework for 3d perception from multi-camera images
Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, and Xiangyu Zhang · 2023
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Cody Reading, Ali Harakeh, Julia Chae, and Steven L. Waslander · 2021
Cited alongside, same era.
Center-based 3d object detection and tracking
Tianwei Yin et al · 2021
Cited alongside, same era.
Monodistill: Learning spatial features for monocular 3d object detection
Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, and Wanli Ouyang · 2022
Cited alongside, same era.
Cross-modality knowledge distillation network for monocular 3d object detection
Yu Hong and et al · 2022
Cited alongside, same era.
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, Yu Qiao, and Jifeng Dai · 2022
Cited alongside, same era.
Learning auxiliary monocular contexts helps monocular 3d object detection
Xianpeng Liu, Nan Xue, and Tianfu Wu · 2022
Cited alongside, same era.
Lidar point cloud guided monocular 3d object detection
Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, and Deng Cai · 2022
Cited alongside, same era.
Depth is all you need for monocular 3d detection
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, and Adrien Gaidon · 2023
Later among the works it cites.
Distillbev: Boosting multi-camera 3d object detection with cross-modal knowledge distillation
Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, and Xiaodong Yang · 2023
Later among the works it cites.
Mononerd: Nerf-like representations for monocular 3d object detection
Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, and Deng Cai · 2023
Later among the works it cites.
Monodetr: Depth-guided transformer for monocular 3d object detection
Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, and Peng Gao · 2023
Later among the works it cites.
Stxd: Structural and temporal cross-modal distillation for multi-view 3d object detection
Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, and Daehyun Ji · 2024
Closest in time.
Labeldistill: Label-guided cross-modal knowledge distillation for camera-based 3d object detection
Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, and Dongsuk Kum · 2024
Closest in time.
Learning occupancy for monocular 3d object detection
Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, and Deng Cai · 2024
Closest in time.
Monocd: Monocular 3d object detection with complementary depths
Longfei Yan, Pei Yan, Shengzhou Xiong, Xuanyu Xiang, and Yihua Tan · 2024
Closest in time.