CasA: A Cascade Attention Network for 3-D Object Detection From LiDAR Point Clouds-Reference-Cited by-同舟云学术

CasA: A Cascade Attention Network for 3-D Object Detection From LiDAR Point Clouds

Published:2022 Issue: Volume:60 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Hai¹^ORCID,Deng Jinhao¹,Wen Chenglu¹^ORCID,Li Xin²^ORCID,Wang Cheng¹^ORCID,Li Jonathan³^ORCID

Affiliation:

1. Fujian Key Laboratory of Sensing and Computing for Smart Cities and the School of Informatics, Xiamen University, Xiamen, China

2. Department of Visualization, Texas A & M University, College Station, TX, USA

3. Department of Geography and Environmental Management and the Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09870747.pdf?arnumber=9870747

Reference51 articles.

1. EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection

2. Multi-Task Multi-Sensor Fusion for 3D Object Detection

3. Point Transformer

4. Cloud Detection Method Using CNN Based on Cascaded Feature Attention and Channel Attention

5. Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification

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