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What is: PointAugment?

SourcePointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

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.