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Stereo-based 3D detection aims at detecting 3D object bounding boxes from stereo images using intermediate depth maps or implicit 3D geometry representations, which provides a low-cost solution for 3D perception.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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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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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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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio · 2015
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Soundnet: Learning sound representations from unlabeled video
Yusuf Aytar, Carl Vondrick, and Antonio Torralba · 2016
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Cross modal distillation for supervision transfer
Saurabh Gupta, Judy Hoffman, and Jitendra Malik · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Guobin Chen, Wongun Choi, Xiang Yu, Tony Han, and Manmohan Chandraker · 2017
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3d object proposals using stereo imagery for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 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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Like what you like: Knowledge distill via neuron selectivity transfer
Zehao Huang and Naiyan Wang · 2017
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End-to-end learning of geometry and context for deep stereo regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry · 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
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Cascade residual learning: A two-stage convolutional neural network for stereo matching
Jiahao Pang, Wenxiu Sun, Jimmy SJ Ren, Chengxi Yang, and Qiong Yan · 2017
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A gift from knowledge distillation: Fast optimization, network minimization and transfer learning
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Pyramid stereo matching network
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Road: Reality oriented adaptation for semantic segmentation of urban scenes
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3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
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Paraphrasing complex network: Network compression via factor transfer
Jangho Kim, Seonguk Park, and Nojun Kwak · 2018
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Learning for disparity estimation through feature constancy
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, and Jianfeng Zhang · 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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Edgestereo: A context integrated residual pyramid network for stereo matching
Xiao Song, Xu Zhao, Hanwen Hu, and Liangji Fang · 2018
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Multi-level fusion based 3d object detection from monocular images
Bin Xu and Zhenzhong Chen · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
Iou loss for 2d/3d object detection
Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, and Ruigang Yang · 2019
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Asr is all you need: Cross-modal distillation for lip reading
Triantafyllos Afouras, Joon Son Chung, and Andrew Zisserman · 2020
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Dsgn: Deep stereo geometry network for 3d object detection
Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2020
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Hierarchical neural architecture search for deep stereo matching
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, and Zongyuan Ge · 2020
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Associate-3ddet: perceptual-to-conceptual association for 3d point cloud object detection
Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, and Shilei Wen · 2020
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Segstereo: Exploiting semantic information for disparity estimation
Guorun Yang, Hengshuang Zhao, Jianping Shi, Zhidong Deng, and Jiaya Jia · 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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Learning lightweight pedestrian detector with hierarchical knowledge distillation
Rui Chen, Haizhou Ai, Chong Shang, Long Chen, and Zijie Zhuang · 2019
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Group-wise correlation stereo network
Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, and Hongsheng Li · 2019
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Knowledge adaptation for efficient semantic segmentation
Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, and Youliang Yan · 2019
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A comprehensive overhaul of feature distillation
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, and Jin Young Choi · 2019
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Squeezed deep 6dof object detection using knowledge distillation
Heitor Feliz, Walber M Rodrigues, David Macêdo, Francisco Simões, Adriano LI Oliveira, Veronica Teichrieb, and Cleber Zanchettin · 2020
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Wasserstein distances for stereo disparity estimation
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao · 2020
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Confidence guided stereo 3d object detection with split depth estimation
Chengyao Li, Jason Ku, and Steven L Waslander · 2020
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Ida-3d: Instance-depth-aware 3d object detection from stereo vision for autonomous driving
Wanli Peng, Hao Pan, He Liu, and Yi Sun · 2020
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Object-centric stereo matching for 3d object detection
Alex D. Pon, Jason Ku, Chengyao Li, and Steven L. Waslander · 2020
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End-to-end pseudo-lidar for image-based 3d object detection
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, and Wei-Lun Chao · 2020
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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
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From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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Disp r-cnn: Stereo 3d object detection via shape prior guided instance disparity estimation
Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, and Hujun Bao · 2020
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Openpcdet: An open-source toolbox for 3d object detection from point clouds
OpenPCDet Development Team · 2020
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Aanet: Adaptive aggregation network for efficient stereo matching
Haofei Xu and Juyong Zhang · 2020
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Zoomnet: Part-aware adaptive zooming neural network for 3d object detection
Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, and Liusheng Huang · 2020
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3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
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Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2020
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Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, and Stan Z Li · 2020
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Adaptive unimodal cost volume filtering for deep stereo matching
Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, and Kuiyuan Yang · 2020
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Knowledge as priors: Cross-modal knowledge generalization for datasets without superior knowledge
Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, and Dimitris N Metaxas · 2020
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Plume: Efficient 3d object detection from stereo images
Yan Wang, Bin Yang, Rui Hu, Ming Liang, and Raquel Urtasun · 2021
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