PiSFANet: Pillar Scale-Aware Feature Aggregation Network for Real-Time 3D Pedestrian Detection-Reference-Cited by-同舟云学术

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PiSFANet: Pillar Scale-Aware Feature Aggregation Network for Real-Time 3D Pedestrian Detection

Published:2024 Issue: Volume:31 Page:2000-2004
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Yan Weiqing¹^ORCID,Liu Shile¹,Tang Chang²^ORCID,Zhou Wujie³^ORCID

Affiliation:

1. School of Computer and Control Engineering, Yantai University, Yantai, China

2. School of Computer Science, China University of Geosciences, Wuhan, China

3. School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Zhejiang, China

Funder

Youth Innovation Team Project of Higher Education Institutions in Shandong Province

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/97/10380231/10595495.pdf?arnumber=10595495

Reference26 articles.

1. Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos

2. Robust real-time human perception with depth camera;Zhang,2016

3. DTSSD: Dual-Channel Transformer-Based Network for Point-Based 3D Object Detection

4. Enhanced Point Feature Network for Point Cloud Salient Object Detection

5. SECOND: Sparsely Embedded Convolutional Detection

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