Contrastive Learning for 3D Point Clouds Classification and Shape Completion

In this paper, we present the idea of Self Supervised learning on the shape completion and classification of point clouds. Most 3D shape completion pipelines utilize AutoEncoders to extract features from point clouds used in downstream tasks such as classification, segmentation, detection, and other...

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Bibliographic Details
Main Authors: Danish Nazir, Muhammad Zeshan Afzal, Alain Pagani, Marcus Liwicki, Didier Stricker
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/21/7392

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