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Geometry plays a significant role in monocular 3D object detection.
Pattern recognition and machine learning
Christopher M Bishop and Nasser M Nasrabadi · 2006
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Facial landmark detection by deep multi-task learning
Zhanpeng Zhang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2014
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Weight uncertainty in neural network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015
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Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
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Fast r-cnn
Ross Girshick · 2015
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Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Loss functions for image restoration with neural networks
Hang Zhao, Orazio Gallo, Iuri Frosio, and Jan Kautz · 2016
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What uncertainties do we need in bayesian deep learning for computer vision?
Alex Kendall and Yarin Gal · 2017
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3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 2017
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Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image
Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teuliere, and Thierry Chateau · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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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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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
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Interspecies knowledge transfer for facial keypoint detection
Maheen Rashid, Xiuye Gu, and Yong Jae Lee · 2017
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Curriculum dropout
Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, and Vittorio Murino · 2017
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Softer-nms: Rethinking bounding box regression for accurate object detection
Yihui He, Xiangyu Zhang, Marios Savvides, and Kris Kitani · 2018
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Structured uncertainty prediction networks
Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill DF Campbell, and Ivor Simpson · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and Roberto Cipolla · 2018
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3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
Abhijit Kundu, Yin Li, and James M Rehg · 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
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
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Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, and Andrew Rabinovich · 2018
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Lasernet: An efficient probabilistic 3d object detector for autonomous driving
Gregory P Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, and Carl K Wellington · 2019
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Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
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Triangulation learning network: from monocular to stereo 3d object detection
Zengyi Qin, Jinglu Wang, and Yan Lu · 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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Std: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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Monogrnet: A geometric reasoning network for monocular 3d object localization
Zengyi Qin, Jinglu Wang, and Yan Lu · 2019
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Monocular 3d object detection with pseudo-lidar point cloud
Xinshuo Weng and Kris Kitani · 2019
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Monocular 3d object detection leveraging accurate proposals and shape reconstruction
Jason Ku, Alex D Pon, and Steven L Waslander · 2019
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Structured aleatoric uncertainty in human pose estimation
Nitesh B. Gundavarapu, Divyansh Srivastava, Rahul Mitra, Abhishek Sharma, and Arjun Jain · 2019
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Robust person re-identification by modelling feature uncertainty
Tianyuan Yu, Da Li, Yongxin Yang, Timothy M Hospedales, and Tao Xiang · 2019
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Neural rgb (r) d sensing: Depth and uncertainty from a video camera
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G Narasimhan, and Jan Kautz · 2019
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Mono3d++: Monocular 3d vehicle detection with two-scale 3d hypotheses and task priors
Tong He and Stefano Soatto · 2019
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Deep fitting degree scoring network for monocular 3d object detection
Probabilistic embeddings for cross-modal retrieval
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio De Rezende, Yannis Kalantidis, and Diane Larlus · 2021
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Are we missing confidence in pseudo-lidar methods for monocular 3d object detection?
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Peter Kontschieder, and Elisa Ricci · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 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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Monocular 3d object detection: An extrinsic parameter free approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang · 2021
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Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, and Jie Zhou · 2019
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Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape
Fabian Manhardt, Wadim Kehl, and Adrien Gaidon · 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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Gs3d: An efficient 3d object detection framework for autonomous driving
Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, and Xiaogang Wang · 2019
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M3d-rpn: Monocular 3d region proposal network for object detection
Garrick Brazil and Xiaoming Liu · 2019
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Accurate monocular 3d object detection via color-embedded 3d reconstruction for autonomous driving
Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Wanli Ouyang, and Xin Fan · 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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Monoef: Extrinsic parameter free monocular 3d object detection
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang · 2021
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Monorun: Monocular 3d object detection by reconstruction and uncertainty propagation
Hansheng Chen, Yuyao Huang, Wei Tian, Zhong Gao, and Lu Xiong · 2021
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Geometry-based distance decomposition for monocular 3d object detection
Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, and Tae-Kyun Kim · 2021
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Autoshape: Real-time shape-aware monocular 3d object detection
Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, and Liangjun Zhang · 2021
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Objects are different: Flexible monocular 3d object detection
Yunpeng Zhang, Jiwen Lu, and Jie Zhou · 2021
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Delving into localization errors for monocular 3d object detection
Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, and Wanli Ouyang · 2021
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Learning geometry-guided depth via projective modeling for monocular 3d object detection
Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, and Dan Xu · 2021
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Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
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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
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Exploring geometric consistency for monocular 3d object detection
Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, and Tong Zhang · 2022
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Deviant: Depth equivariant network for monocular 3d object detection
Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, and Xiaoming Liu · 2022
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Pseudo-stereo for monocular 3d object detection in autonomous driving
Yi-Nan Chen, Hang Dai, and Yong Ding · 2022
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Diversity matters: Fully exploiting depth clues for reliable monocular 3d object detection
Zhuoling Li, Zhan Qu, Yang Zhou, Jianzhuang Liu, Haoqian Wang, and Lihui Jiang · 2022
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Did-m3d: Decoupling instance depth for monocular 3d object detection
Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, and Deng Cai · 2022
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Homography loss for monocular 3d object detection
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Probabilistic and geometric depth: Detecting objects in perspective
Tai Wang, ZHU Xinge, Jiangmiao Pang, and Dahua Lin · 2022
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Monodetr: depth-guided transformer for monocular 3d object detection
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Mogde: Boosting mobile monocular 3d object detection with ground depth estimation
Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, and Minyi Guo · 2022
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On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, and Georg Martius · 2022
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Deepvp: Identification and classification of phage virion proteins using deep learning
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Monodtr: Monocular 3d object detection with depth-aware transformer
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Cross-modality knowledge distillation network for monocular 3d object detection
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Monodistill: Learning spatial features for monocular 3d object detection
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Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection
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Densely constrained depth estimator for monocular 3d object detection
Yingyan Li, Yuntao Chen, Jiawei He, and Zhaoxiang Zhang · 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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Monoatt: Online monocular 3d object detection with adaptive token transformer
Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, and Minyi Guo · 2023
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