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Although recent point cloud analysis achieves impressive progress, the paradigm of representation learning from a single modality gradually meets its bottleneck.
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Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik G. Learned-Miller · 2015
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and LeonidasJ 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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3d semantic segmentation with submanifold sparse convolutional networks
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Pointwise convolutional neural networks
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Pointcnn: Convolution on x-transformed points
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen · 2018
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Spidercnn: Deep learning on point sets with parameterized convolutional filters
Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, and Yu Qiao · 2018
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Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition
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Variational information distillation for knowledge transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D Lawrence, and Zhenwen Dai · 2019
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Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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Gregory P Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, and Carlos Vallespi-Gonzalez · 2019
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Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Francois Goulette, and Leonidas J. Guibas · 2019
Comprehensive knowledge distillation with causal intervention
Xiang Deng and Zhongfei Zhang · 2021
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Revisiting point cloud shape classification with a simple and effective baseline
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, and Jia Deng · 2021
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Pct: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R Martin, and Shi-Min Hu · 2021
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Abdullah Hamdi, Silvio Giancola, and Bernard Ghanem · 2021
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Revisiting knowledge distillation: An inheritance and exploration framework
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Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Thanh Nguyen, and Sai-Kit Yeung · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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Pointconv: Deep convolutional networks on 3d point clouds
Wenxuan Wu, Zhongang Qi, and Li Fuxin · 2019
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Pointconv: Deep convolutional networks on 3d point clouds
Wenxuan Wu, Zhongang Qi, and Li Fuxin · 2019
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Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, and Xian-Sheng Hua · 2021
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Simipu: Simple 2d image and 3d point cloud unsupervised pre-training for spatial-aware visual representations
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3d-to-2d distillation for indoor scene parsing
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Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, and Yu Qiao · 2021
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Sat: 2d semantics assisted training for 3d visual grounding
Zhengyuan Yang, Songyang Zhang, Liwei Wang, and Jiebo Luo · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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Rethinking soft labels for knowledge distillation: A bias-variance tradeoff perspective
Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, and Qian Zhang · 2021
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Rethinking network design and local geometry in point cloud: A simple residual MLP framework
Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, and Yun Fu · 2022
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2dpass: 2d priors assisted semaantic segmentation on lidar point clouds
Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, and Zhen Li · 2022
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X-trans2cap: Cross-modal knowledge transfer using transformer for 3d dense captioning
Zhihao Yuan, Xu Yan, Yinghong Liao, Yao Guo, Guanbin Li, Zhen Li, and Shuguang Cui · 2022
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