Transcription of IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE1 Deep Learning for 3D Point Clouds: A SurveyYulan Guo , Hanyun Wang , Qingyong Hu , Hao Liu , Li Liu, and Mohammed BennamounAbstract Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as computervision, autonomous driving, and robotics. As a dominating technique in AI, deep learning has been successfully used to solve various2D vision problems. However, deep learning on point clouds is still in its infancy due to the unique challenges faced by the processingof point clouds with deep neural networks. Recently, deep learning on point clouds has become even thriving, with numerous methodsbeing proposed to address different problems in this area.
TABLE 1: A summary of existing datasets for 3D shape classification, 3D object detection and tracking, and 3D point cloud segmentation. 1 The number of classes used for evaluation and the number of annotated classes (shown in brackets). Datasets for 3D Shape Classification Name and Reference Year #Samples #Classes #Training #Test Type ...
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