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While numerous 3D detection works leverage the complementary relationship between RGB images and point clouds, developments in the broader framework of semi-supervised object recognition remain uninfluenced by multi-modal fusion.
The hungarian method for the assignment problem
Harold W. Kuhn · 1955
Earlier work this paper cites.
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Allison Janoch, S. Karayev, Y. Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell · 2011
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
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Earlier work this paper cites.
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J. Xiao, Andrew Owens, and A. Torralba · 2013
Earlier work this paper cites.
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Philip Bachman, Ouais Alsharif, and Doina Precup · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, M. Maire, Serge J. Belongie, James Hays, P. Perona, D. Ramanan, Piotr Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Distilling the knowledge in a neural network
Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean · 2015
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Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko · 2015
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Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 2015
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Sun rgb-d: A rgb-d scene understanding benchmark suite
Shuran Song, Samuel P. Lichtenberg, and J. Xiao · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun · 2016
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Temporal ensembling for semi-supervised learning
Samuli Laine and Timo Aila · 2016
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W. Liu, Dragomir Anguelov, D. Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, and Alexander C. Berg · 2016
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You only look once: Unified, real-time object detection
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Regularization with stochastic transformations and perturbations for deep semi-supervised learning
Mehdi Sajjadi, Mehran Javanmardi, and Tolga Tasdizen · 2016
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, M. Savva, Maciej Halber, T. Funkhouser, and Matthias Nießner · 2017
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2d-driven 3d object detection in rgb-d images
Jean Lahoud and Bernard Ghanem · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. Qi, L. Yi, Hao Su, and L. Guibas · 2017
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Antti Tarvainen and Harri Valpola · 2017
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Zhaowei Cai and Nuno Vasconcelos · 2018
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3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and L. V. D. Maaten · 2018
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Acquisition of localization confidence for accurate object detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, and Yuning Jiang · 2018
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Frustum pointnets for 3d object detection from rgb-d data
C. Qi, W. Liu, Chenxia Wu, Hao Su, and L. Guibas · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and B. Li · 2018
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cissé, Yann Dauphin, and David Lopez-Paz · 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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Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
David Berthelot, Nicholas Carlini, Ekin D Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, and Colin Raffel · 2019
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Mixmatch: A holistic approach to semi-supervised learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, and Colin A Raffel · 2019
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4d spatio-temporal convnets: Minkowski convolutional neural networks
C. Choy, JunYoung Gwak, and S. Savarese · 2019
Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H. Lang, Bassam Helou, and Oscar Beijbom · 2020
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Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, and Xiaofei He · 2020
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3dssd: Point-based 3d single stage object detector
Zetong Yang, Y. Sun, Shu Liu, and Jiaya Jia · 2020
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3d-cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection
Jin Hyeok Yoo, Yeocheol Kim, Ji Song Kim, and J. W. Choi · 2020
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Multi-modality cut and paste for 3d object detection
Wenwei Zhang, Zhe Wang, and Chen Change Loy · 2020
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Consistency-based semi-supervised learning for object detection
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Deep hough voting for 3d object detection in point clouds
C. Qi, O. Litany, Kaiming He, and L. Guibas · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression
Seyed Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, and Silvio Savarese · 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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Mvx-net: Multimodal voxelnet for 3d object detection
V. Sindagi, Yin Zhou, and Oncel Tuzel · 2019
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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Sess: Self-ensembling semi-supervised 3d object detection
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Pseudo-labeling for scalable 3d object detection
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3d-to-2d distillation for indoor scene parsing
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Multi-modality task cascade for 3d object detection
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Offboard 3d object detection from point cloud sequences
C. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa T. Vo, Boyang Deng, and Dragomir Anguelov · 2021
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Sparse r-cnn: End-to-end object detection with learnable proposals
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Humble teachers teach better students for semi-supervised object detection
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Vpfnet: Voxel-pixel fusion network for multi-class 3d object detection
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3dioumatch: Leveraging iou prediction for semi-supervised 3d object detection
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Semi-supervised 3d object detection via temporal graph neural networks
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Image2point: 3d point-cloud understanding with pretrained 2d convnets
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Multimodal virtual point 3d detection
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Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling
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Monodistill: Learning spatial features for monocular 3d object detection
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