DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhou Quan¹^ORCID,Shi Huimin²,Xiang Weikang¹,Kang Bin³^ORCID,Latecki Longin Jan⁴^ORCID

Affiliation:

1. National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Wuxi Esiontech Company Ltd, Wuxi, China

3. Department of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China

4. Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

Funder

National Natural Science Foundation of China

State Key Laboratory of Robotics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10480917.pdf?arnumber=10480917

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fabric defect detection via low-rank decomposition with multi-priors and visual saliency features;Journal of the Franklin Institute;2024-11

2. Real-time gastric intestinal metaplasia segmentation using a deep neural network designed for multiple imaging modes on high-resolution images;Knowledge-Based Systems;2024-09

3. DAJLENet: A neural network based on dual attention and joint learning for explainable heart failure adverse event prediction;Computers and Electrical Engineering;2024-08

4. A Lightweight and Efficient Multi-Type Defect Detection Method for Transmission Lines Based on DCP-YOLOv8;Sensors;2024-07-11

5. Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation;Image and Vision Computing;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3