Unsupervised domain adaptation for LiDAR segmentation

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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書目詳細資料
主要作者:	Kong, Lingdong
其他作者:	Zhang Hanwang
格式:	Thesis-Master by Research
語言:	English
出版:	Nanyang Technological University 2022
主題:	Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
在線閱讀:	https://hdl.handle.net/10356/158401
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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