Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression-Reference-Cited by-同舟云学术

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Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Li Wenjie¹^ORCID,Shang Ronghua¹^ORCID,Ju Zihan¹,Feng Jie¹^ORCID,Xu Songhua²,Zhang Weitong¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China

2. Department of Health Management and Institute of Medical Artificial Intelligence, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Natural Science Basic Research Program of Shaanxi

Open Research Projects of Zhejiang Laboratory

Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10371340.pdf?arnumber=10371340

Reference24 articles.

1. Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification

2. Hyperspectral Image Classification Based on Pyramid Coordinate Attention and Weighted Self-Distillation

3. Arbitrary-Oriented Scene Text Detection via Rotation Proposals

4. Align Deep Features for Oriented Object Detection

5. UnitBox

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