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To reduce the reliance on large-scale datasets, recent works in 3D segmentation resort to few-shot learning.
Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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3d semantic parsing of large-scale indoor spaces
Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Daan Wierstra, et al · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
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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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Few-shot learning with graph neural networks
Victor Garcia and Joan Bruna · 2017
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One-shot learning for semantic segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, and Byron Boots · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Edge and corner detection for unorganized 3d point clouds with application to robotic welding
Syeda Mariam Ahmed, Yan Zhi Tan, Chee Meng Chew, Abdullah Al Mamun, and Fook Seng Wong · 2018
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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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A lidar point cloud generator: from a virtual world to autonomous driving
Xiangyu Yue, Bichen Wu, Sanjit A Seshia, Kurt Keutzer, and Alberto L Sangiovanni-Vincentelli · 2018
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Neural style transfer: A review
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song · 2019
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Fast and robust 3d person detector and posture estimator for mobile robotic applications
Benjamin Lewandowski, Jonathan Liebner, Tim Wengefeld, Steffen Müller, and Horst-Michael Gross · 2019
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Theory of the frequency principle for general deep neural networks
Tao Luo, Zheng Ma, Zhi-Qin John Xu, and Yaoyu Zhang · 2019
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Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data
Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Thanh Nguyen, and Sai-Kit Yeung · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Explicitizing an implicit bias of the frequency principle in two-layer neural networks
Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, and Zheng Ma · 2019
Cited alongside, same era.
Deep learning on 3d point clouds
Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang, Jibril Muhmmad Adam, and Jonathan Li · 2020
Cited alongside, same era.
Fuseseg: Lidar point cloud segmentation fusing multi-modal data
Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, and Horst Bischof · 2020
Cited alongside, same era.
Point-m2ae: Multi-scale masked autoencoders for hierarchical point cloud pre-training
Renrui Zhang, Ziyu Guo, Peng Gao, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, and Hongsheng Li · 2022
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Pimae: Point cloud and image interactive masked autoencoders for 3d object detection
Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, and Shanghang Zhang · 2023
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Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, and Pheng Ann Heng · 2023
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Prototype adaption and projection for few-and zero-shot 3d point cloud semantic segmentation
Shuting He, Xudong Jiang, Wei Jiang, and Henghui Ding · 2023
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Query-guided support prototypes for few-shot 3d indoor segmentation
Dingchang Hu, Siang Chen, Huazhong Yang, and Guijin Wang · 2023
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Self-supervised few-shot learning on point clouds
Charu Sharma and Manohar Kaul · 2020
Cited alongside, same era.
Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, and Ren Ng · 2020
Cited alongside, same era.
Pillar-based object detection for autonomous driving
Yue Wang, Alireza Fathi, Abhijit Kundu, David A Ross, Caroline Pantofaru, Tom Funkhouser, and Justin Solomon · 2020
Cited alongside, same era.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Cited alongside, same era.
Tip-adapter: Training-free clip-adapter for better vision-language modeling
Renrui Zhang, Rongyao Fang, Peng Gao, Wei Zhang, Kunchang Li, Jifeng Dai, Yu Qiao, and Hongsheng Li · 2021
Cited alongside, same era.
Stratified transformer for 3d point cloud segmentation
Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, and Jiaya Jia · 2022
Cited alongside, same era.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Transformer-based visual segmentation: A survey
Xiangtai Li, Henghui Ding, Wenwei Zhang, Haobo Yuan, Jiangmiao Pang, Guangliang Cheng, Kai Chen, Ziwei Liu, and Chen Change Loy · 2023
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Partslip: Low-shot part segmentation for 3d point clouds via pretrained image-language models
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, and Hao Su · 2023
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Boosting few-shot 3d point cloud segmentation via query-guided enhancement
Zhenhua Ning, Zhuotao Tian, Guangming Lu, and Wenjie Pei · 2023
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Few-shot point cloud semantic segmentation via contrastive self-supervision and multi-resolution attention
Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, and Tong Heng Lee · 2023
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Generalized few-shot point cloud segmentation via geometric words
Yating Xu, Conghui Hu, Na Zhao, and Gim Hee Lee · 2023
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Swin3d: A pretrained transformer backbone for 3d indoor scene understanding
Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong, Yang Liu, Hao Pan, Peng-Shuai Wang, Xin Tong, and Baining Guo · 2023
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Nearest neighbors meet deep neural networks for point cloud analysis
Renrui Zhang, Liuhui Wang, Ziyu Guo, and Jianbo Shi · 2023
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Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners
Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Hongsheng Li, Yu Qiao, and Peng Gao · 2023
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Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders
Renrui Zhang, Liuhui Wang, Yu Qiao, Peng Gao, and Hongsheng Li · 2023
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Robust point cloud processing through positional embedding, 2023
Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, and Simon Lucey · 2023
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Cross-class bias rectification for point cloud few-shot segmentation
Guanyu Zhu, Yong Zhou, Rui Yao, and Hancheng Zhu · 2023
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