Point Cloud Classification Using Content-Based Transformer via Clustering in Feature SpaceOACSTPCD
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space
Yahui Liu;Bin Tian;Yisheng Lv;Lingxi Li;Fei-Yue Wang
State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and also with the School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,ChinaState Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and also with the School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,ChinaState Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and also with the School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,ChinaTransportation and Autonomous Systems Institute(TASI)and the Department of Electrical and Computer Engineering,Purdue School of Engineering and Technology,Indiana University-Purdue University Indianapolis(IUPUI),Indianapolis 46202 USAState Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and also with the School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China
Content-based Transformerdeep learningfeature aggregatorlocal attentionpoint cloud classification
Content-based Transformerdeep learningfeature aggregatorlocal attentionpoint cloud classification
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231-239,9
This work was supported in part by the National Natural Science Foundation of China(61876011),the National Key Research and Development Program of China(2022YFB4703700),the Key Research and Development Program 2020 of Guangzhou(202007050002),and the Key-Area Research and Development Program of Guangdong Province(2020 B090921003).
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