Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene segmentation-Reference-Cited by-同舟云学术

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Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene segmentation

Published:2022-09 Issue: Volume:129 Page:108722
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Mengtian,Xie Yuan,Ma Lizhuang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. Deep learning for 3D point clouds: a survey;Guo;TPAMI,2021

2. PointRCNN: 3D object proposal generation and detection from point cloud;Shi,2019

3. 3D-CenterNet: 3D object detection network for point clouds with center estimation priority;Wang;PR,2021

4. From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network;Shi;TPAMI,2021

5. FeatFlow: learning geometric features for 3D motion estimation;Li;PR,2021

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