MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract)
Keywords:Self-supervision, Contrastive Learning, Representation Learning, Pointcloud, Graph(DGCNN)
AbstractPoint cloud has gained a lot of attention with the availability of a large amount of point cloud data and increasing applications like city planning and self-driving cars. However, current methods, often rely on labeled information and costly processing, such as converting point cloud to voxel. We propose a self-supervised learning approach to tackle these problems, combating labelling and additional memory cost issues. Our proposed method achieves results comparable to supervised and unsupervised baselines on the widely used benchmark datasets for self-supervised point cloud classification like ShapeNet, ModelNet10/40.
How to Cite
Gorade, V., Singh, A., & Mishra, D. (2022). MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12957-12958. https://doi.org/10.1609/aaai.v36i11.21615
AAAI Student Abstract and Poster Program