Deep learning methods with less supervision

To tackle the immense burden of acquiring accurate, pixel-level annotations for semantic segmentation tasks, we propose a weakly-supervised deep learning framework. We incorporate state-of-the-art foundational models to propagate pseudo-labels. Then, explore the viability of training a fully convolu...

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Bibliographic Details
Main Author: Chai, Youxiang
Other Authors: Lin Guosheng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172909
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Institution: Nanyang Technological University
Language: English