Learning visual representations without human supervision

Learning visual representations without human supervision

Supervised learning with deep neural networks has achieved great success in many visual recognition tasks including classification, detection, and segmentation. However, the need for expensive human annotations makes it increasingly prohibitive to embrace the massive amount of data available in the...

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Bibliographic Details
Main Author: Xie, Jiahao
Other Authors: Chen Change Loy
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/171772

Internet

https://hdl.handle.net/10356/171772

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