FADL-Net: Frequency-Assisted Dynamic Learning Network for Oriented Object Detection in Remote Sensing Images-Reference-Cited by-同舟云学术

FADL-Net: Frequency-Assisted Dynamic Learning Network for Oriented Object Detection in Remote Sensing Images

Author:

Fu Ronghao¹^ORCID,Chen Chengcheng²^ORCID,Yan Shuang³^ORCID,Zhang Rui¹^ORCID,Wang Xianchang¹^ORCID,Chen Huiling⁴^ORCID

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun, China

2. School of Computer Science, Shenyang Aerospace University, Shenyang, China

3. College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China

4. College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Shenyang Aerospace University Talent Research Initiation Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference45 articles.

3. Rethinking rotated object detection with gaussian wasserstein distance loss;Yang,2021

4. The Kfiou loss for rotated object detection;Yang,2022

Cited by 1 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