Detection of moving objects in multi-complex environments using selective attention networks (SANet)-Reference-Cited by-同舟云学术

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Detection of moving objects in multi-complex environments using selective attention networks (SANet)

Published:2023-11 Issue: Volume:155 Page:105066
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Cho Jaemin,Kim Kyekyung

Funder

Korea Institute for Advancement of Technology

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference71 articles.

1. Robo advisors, algorithmic trading and investment management: wonders of fourth industrial revolution in financial markets;Tao;Technol. Forecast Soc. Change,2021

2. Industry 4.0 for pharmaceutical manufacturing: preparing for the smart factories of the future;Arden;Int. J. Pharm.,2021

3. Paradigm of sustainable process safety management for industrial revolution 4.0: A circular economy and sustainability perspective;Toha;Process. Saf. Prog.,2022

4. Comparative analysis of changes in industrial accident rates among major countries;Lee,2021

5. You only look once: Unified, real-time object detection;Redmon,2016

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1. Research on YOLOv3 Face Detection Network Model Based on Pruning;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

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