2D and 3D visual understanding with limited supervision

2D and 3D visual understanding with limited supervision

Existing fully supervised deep learning methods usually require a large number of training samples with abundant annotations for the model training, which is extremely expensive and labor-consuming. Therefore, in order to alleviate huge labeling costs, it is highly desirable to develop weakly superv...

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Bibliographic Details
Main Author: Wu, Zhonghua
Other Authors: Lin Guosheng
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/164693

Internet

https://hdl.handle.net/10356/164693

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