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