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Unsupervised and self-supervised learning for 3D point cloud

less than 1 minute read

Published:

As you know, self-supervised learning has raised quickly in some recent years (especially in 2D images). So what is the self-supervised? why they need it? and what are the challenges of self-supervised when applying to 3D point cloud?

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publications

How to make a machine learn continuously: a tutorial of the Bayesian approach

Published in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 2019

N/A

Recommended citation: Than, K., Bui, X., Nguyen-Trong, T., Truong, K., Nguyen, S., Tran, B., Van, L.N. and Nguyen-Duc, A., 2019, May. How to make a machine learn continuously: a tutorial of the Bayesian approach. In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications (Vol. 11006, p. 110060I). International Society for Optics and Photonics. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11006/110060I/How-to-make-a-machine-learn-continuously--a-tutorial/10.1117/12.2518860.short

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.