Split-and-Shuffle Detector for Real-Time Traffic Object Detection in Aerial Image-Reference-Cited by-同舟云学术

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Split-and-Shuffle Detector for Real-Time Traffic Object Detection in Aerial Image

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Mao Guotao¹^ORCID,Liang Hongbin¹^ORCID,Yao Yiting¹,Wang Lei¹^ORCID,Zhang Han¹

Affiliation:

1. School of Transportation and Logistics, National United Engineering Laboratory of Integrated and Intelligent Transportation, and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10330582.pdf?arnumber=10330582

Cited by 2 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. LD-YOLOv10: A Lightweight Target Detection Algorithm for Drone Scenarios Based on YOLOv10;Electronics;2024-08-17

2. An Effective and Lightweight Full-Scale Target Detection Network for UAV Images Based on Deformable Convolutions and Multi-Scale Contextual Feature Optimization;Remote Sensing;2024-08-11

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