LAF-Net: Local attention fusion for point cloud semantic segmentation
文献类型：会议论文
| 作者 | Du, Shuangxi2; Fan HJ(范慧杰)1,3 ; Tang YD(唐延东)1,3; Zhang, Yanzhu2
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| 出版日期 | 2021 |
| 会议日期 | October 22-24, 2021 |
| 会议地点 | Beijing, China |
| 关键词 | LAF-Net multi-resolutional features point clouds semantic segmentation |
| 页码 | 6356-6360 |
| 英文摘要 | How to utilize locally implied geometric features for points has attracted more and more attention in recent past. To tackle this dilemma, we present a novel local attention fusion module for 3D points semantic segmentation, called LAF-Net, which fuses low-dimensional contents and high-dimensional semantic features to get multi-resolutional features for points. With a modest computation cast, our LAF-Net achieves better experimental results than the several methods. |
| 产权排序 | 2 |
| 会议录 | Proceeding - 2021 China Automation Congress, CAC 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-2647-3 |
| 源URL | [http://ir.sia.cn/handle/173321/30796]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Du, Shuangxi |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, China 2.School of Automation and Electrical Engineering, Shenyang Li Gong University, Shenyang, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Du, Shuangxi,Fan HJ,Tang YD,et al. LAF-Net: Local attention fusion for point cloud semantic segmentation[C]. 见:. Beijing, China. October 22-24, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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