Unsupervised domain adaptation for LiDAR segmentation

Transferring knowledge learned from the labeled source domain to the raw target domain for unsupervised domain adaptation (UDA) is essential to the scalable deployment of an autonomous driving system. State-of-the-art approaches in UDA often employ a key concept: utilize joint supervision signals fr...

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Bibliographic Details
Main Author: Kong, Lingdong
Other Authors: Zhang Hanwang
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158401
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Institution: Nanyang Technological University
Language: English

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