PointAugment
PointAugment
**PointAugment** is a an auto-augmentation framework that automatically optimizes and augments point cloud samples to enrich the data diversity when we train a classification network. Different from existing auto-augmentation methods for 2D images, PointAugment is sample-aware and takes an adversarial learning strategy to jointly optimize an augmentor network and a classifier network, such that the augmentor can learn to produce augmented samples that best fit the classifier.
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
https://paperswithcode.com/paper/pointaugment-an-auto-augmentation-framework
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification