EdgeYOLO: An Edge-Real-Time Object Detector
Author:
Affiliation:
1. Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China,100081
2. Beijing Institute of Technology Chongqing Innovation Center,Chongqing,China,401135
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239786.pdf?arnumber=10239786
Reference28 articles.
1. YOLOv3: An Incremental Im-provement;redmon;ArXiv,2018
2. YOL09000: Better, Faster, Stronger;redmon;CVPR,2017
3. Vision Meets Drones: A Challenge;zhu;ArXiv,2018
4. Shuffle Net: An Ex-tremely Efficient Convolutional Neural Network for Mobile Devices;zhang;CVPR,2018
5. You Only Look Once: Unified, Real-Time Object Detection
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