YOLO-DoA: A New Data-Driven Method of DoA Estimation Based on YOLO Neural Network Framework
Author:
Affiliation:
1. School of Information, Communication Engineering, University of Electronic Science, Technology of China, Chengdu, China
2. Tong Fang Electronic Science Technology Company, Ltd, Jiujiang, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/10026816/10032698.pdf?arnumber=10032698
Reference23 articles.
1. Performance Analysis for Sparse Support Recovery
2. RFDOA-Net: An Efficient ConvNet for RF-Based DOA Estimation in UAV Surveillance Systems
3. Performance study of conditional and unconditional direction-of-arrival estimation
4. SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial Imagery
5. Yolov3: An incremental improvement;redmon,2018
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