Adaptively Attentional Feature Fusion Oriented to Multiscale Object Detection in Remote Sensing Images
Author:
Affiliation:
1. School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, China
2. School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, Hebei, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hebei Province of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10049131.pdf?arnumber=10049131
Reference36 articles.
1. FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery
2. Rethinking classification and localization for object detection;wu;arXiv 1904 06493,2019
3. Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images
4. Objects as points;zhou;arXiv 1904 07850,2019
5. FE-YOLO: A feature enhancement network for remote sensing target detection;xu;Remote Sens,2021
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