Boosting Minority Class Prediction on Imbalanced Point Cloud Data

Boosting Minority Class Prediction on Imbalanced Point Cloud Data

Data imbalance during the training of deep networks can cause the network to skip directly to learning minority classes. This paper presents a novel framework by which to train segmentation networks using imbalanced point cloud data. PointNet, an early deep network used for the segmentation of point...

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Bibliographic Details
Main Authors: Hsien-I Lin, Mihn Cong Nguyen
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
deep learning
imbalanced data
hybrid-sampling
balanced focus loss function
Online Access:https://www.mdpi.com/2076-3417/10/3/973

Internet

https://www.mdpi.com/2076-3417/10/3/973

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