Learning Oriented Object Detection via Naive Geometric Computing

Author:

Wang Yanjie1ORCID,Zhang Zhijun1,Xu Wenhui1ORCID,Chen Liqun1ORCID,Wang Guodong2,Yan Luxin1ORCID,Zhong Sheng1ORCID,Zou Xu1ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Multispectral Information Processing/School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. School of Computer Science and Technology, Qingdao University, Qingdao, China

Funder

National Natural Science Foundation of China

Central Guidance on Local Science and Technology Development Fund of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 10 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. FADL-Net: Frequency-Assisted Dynamic Learning Network for Oriented Object Detection in Remote Sensing Images;IEEE Transactions on Industrial Informatics;2024-08

2. Hyperspectral Remote Sensing Scene Classification with Spectral-Spatial Convolutional Network;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. FPN with GMM Based Feature Enhancement Strategy for Object Detection in Remote Sensing Images;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Shape-Sensitive Feature Extraction for Large-Aspect-Ratio Object Detection;IEEE Geoscience and Remote Sensing Letters;2024

5. Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey;IEEE Access;2024

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