An Effective and Lightweight Hybrid Network for Object Detection in Remote Sensing Images-Reference-Cited by-同舟云学术

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An Effective and Lightweight Hybrid Network for Object Detection in Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yang Xi¹^ORCID,Zhang Sheng²^ORCID,Duan Songsong¹^ORCID,Yang Weichao³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China

2. Hangzhou Institute of Technology, Xidian University, Hangzhou, China

3. Xi’an Institute of Space Radio Technology, Xi’an, China

Funder

National Natural Science Foundation of China

Shaanxi Outstanding Youth Science Fund Project

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10342887.pdf?arnumber=10342887

Reference58 articles.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

3. Faster R-CNN: Towards real-time object detection with region proposal networks;Ren

4. Libra R-CNN: Towards Balanced Learning for Object Detection

5. Cascade R-CNN: Delving Into High Quality Object Detection

Cited by 3 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

1. Unified multimodal fusion transformer for few shot object detection for remote sensing images;Information Fusion;2024-11

2. Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024

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