PCAlign: a general data augmentation framework for point clouds | Scientific Reports

Retrieved on: 2024-09-12 15:37:47

Tags for this article:

Machine learning

Computational neuroscience

Computational statistics

Deep learning

Neural network

Feature learning

Convolutional neural network

Data augmentation

Resampling

Training, validation, and test data sets

Types of artificial neural networks

Intel

Click the tags to see associated articles and topics

PCAlign: a general data augmentation framework for point clouds | Scientific Reports. View article details on hiswai:

Summary

The article details the use of PCAlign for point cloud semantic classification via semantic analysis, aligning with key concepts such as feature learning and data augmentation. Tags like "Machine learning," "Neural network," and "Deep learning" are relevant as PCAlign integrates with various neural networks and employs advanced computational techniques for improved data processing and augmentation.

Article found on: www.nature.com

View Original Article