Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning-Reference-Cited by-同舟云学术

Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning

Published:2023-01 Issue:1 Volume:8 Page:184-191
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Wang Di¹^ORCID,Yang Zhi-Xin¹^ORCID

Affiliation:

1. State Key Laboratory of Internet of Things for Smart City and Department of Electromachnical Engineering, University of Macau, Macau, China

Funder

Science and Technology Development Fund, Macau SAR

Ministry of Science and Technology of China

Basic and Applied Basic Research Foundation of Guangdong Province

Universidade de Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9963768/09961854.pdf?arnumber=9961854

Reference55 articles.

1. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc North Amer Chapter Assoc Comput Linguistics Hum Language Technol,0

2. Masked Autoencoders Are Scalable Vision Learners

3. Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

4. Dense-Resolution Network for Point Cloud Classification and Segmentation

5. PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning for 3D object recognition: A survey;Neurocomputing;2024-12

2. Fine-Tuning Point Cloud Transformers with Dynamic Aggregation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. VG4D: Vision-Language Model Goes 4D Video Recognition;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Real-Time Location-to-Image Generative Adversarial Networks with Sparse Sensor Data;2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP);2023-11-21