文献
J-GLOBAL ID:202202289306039599
整理番号:22A0397571
ポイントクラウド知覚のための適応ピラミッドコンテキスト融合【JST・京大機械翻訳】
Adaptive Pyramid Context Fusion for Point Cloud Perception
著者 (6件):
Lin Haojia
(Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China)
,
Luo Zhipeng
(Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China)
,
Li Wen
(Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China)
,
Chen Yiping
(Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China)
,
Wang Cheng
(Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China)
,
Li Jonathan
(Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China)
資料名:
IEEE Geoscience and Remote Sensing Letters
(IEEE Geoscience and Remote Sensing Letters)
巻:
19
ページ:
ROMBUNNO.6500505.1-5
発行年:
2022年
JST資料番号:
W1397A
ISSN:
1545-598X
CODEN:
IGRSBY
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)