Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds

no code implementations • 2 Nov 2022 • Zhuheng Lu, Yuewei Dai, Weiqing Li, Zhiyong Su

To address the issues, we propose a simple but efficient augmentation fusion contrastive learning framework to combine data augmentations in Euclidean space and feature augmentations in feature space.

Contrastive Learning Data Augmentation +2

Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations

no code implementations • 2 Nov 2022 • Zhuheng Lu, Peng Zhang, Yuewei Dai, Weiqing Li, Zhiyong Su

Secondly, the WHCN takes the hypergraph as input and learns to predict high-precision point-level pseudo labels by label propagation.

Point Cloud Segmentation Segmentation +1