Graph Spectral Perturbation for 3D Point Cloud Contrastive Learning

Author:

Han Yuehui1ORCID,Chen Jiaxin1ORCID,Qian Jianjun1ORCID,Xie Jin1ORCID

Affiliation:

1. Nanjing University of Science and Technology, Nanjing, China

Funder

the National Science Fund of China

Publisher

ACM

Reference55 articles.

1. Panos Achlioptas , Olga Diamanti , Ioannis Mitliagkas , and Leonidas Guibas . 2018 . Learning representations and generative models for 3D point clouds . In International conference on machine learning. PMLR, 40--49 . Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas. 2018. Learning representations and generative models for 3D point clouds. In International conference on machine learning. PMLR, 40--49.

2. CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

3. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

4. Angel X Chang , Thomas Funkhouser , Leonidas Guibas , Pat Hanrahan , Qixing Huang , Zimo Li , Silvio Savarese , Manolis Savva , Shuran Song , Hao Su , 2015 . Shapenet: An information-rich 3D model repository. arXiv preprint arXiv:1512.03012 (2015). Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al. 2015. Shapenet: An information-rich 3D model repository. arXiv preprint arXiv:1512.03012 (2015).

5. Siheng Chen , Dong Tian , Chen Feng , Anthony Vetro , and Jelena Kovačević . 2017. Fast resampling of three-dimensional point clouds via graphs . IEEE Transactions on Signal Processing ( 2017 ), 666--681. Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, and Jelena Kovačević. 2017. Fast resampling of three-dimensional point clouds via graphs. IEEE Transactions on Signal Processing (2017), 666--681.

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