Exploiting Full-Scale Feature for Remote Sensing Object Detection Based on Refined Feature Mining and Adaptive Fusion

Exploiting Full-Scale Feature for Remote Sensing Object Detection Based on Refined Feature Mining and Adaptive Fusion

Object detection for remote sensing images remains a challenging problem. In this paper, we proposed an effective remote sensing detection network (RS-Net) based on YOLOv4, which greatly solves the difficulties of remote sensing object detection. Center to our RS-Net is coarse-grained highlighting (...

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Bibliographic Details
Main Authors: Honghui Xu, Xinqing Wang, Ting Rui, Baoguo Duan, Dong Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Remote sensing object detection
YOLOv4
feature mining
adaptive fusion
Online Access:https://ieeexplore.ieee.org/document/9535136/
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https://ieeexplore.ieee.org/document/9535136/

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