Company Filing History:
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1 out of 1 Years Active: 2023-2025
Title: Innovations of Huiyao Wan in Target Detection Technology.
Introduction
Huiyao Wan is a prominent inventor based in Hefei, China, known for his contributions to the field of target detection technology. With a total of three patents to his name, he has made significant advancements in synthetic aperture radar (SAR) systems.
Latest Patents
Huiyao Wan's latest patents include a contextual visual-based SAR target detection method and apparatus, along with a storage medium. This innovative method involves obtaining an SAR image and inputting it into a target detection model. The model positions and recognizes targets within the SAR image, yielding a detection result. The approach enhances a two-way multi-scale connection operation through top-down and bottom-up attention, guiding the learning of dynamic attention matrices. This enhancement improves feature interaction across different resolutions, allowing for more accurate extraction of multi-scale target feature information. The model effectively suppresses background interference, thereby enhancing visual expressiveness. Additionally, his synthetic aperture radar image target detection method utilizes the anchor-free target detection algorithm YOLOX as a framework, reconstructing the backbone feature extraction network from a lightweight perspective.
Career Highlights
Huiyao Wan has worked at notable institutions such as Anhui University and Anhui Zhongke Xinglian Information Technology Co., Ltd. His work has focused on improving the accuracy and efficiency of target detection methods, particularly in the context of SAR technology.
Collaborations
Huiyao Wan has collaborated with colleagues such as Jie Chen and Zhixiang Huang, contributing to the advancement of research in target detection.
Conclusion
Huiyao Wan's innovative work in target detection technology showcases his expertise and commitment to enhancing the capabilities of synthetic aperture radar systems. His contributions are paving the way for more effective detection methods in various applications.
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