Huan Jiang

Title: Huan Jiang: Innovator in Deep Learning Target Recognition

Introduction

Huan Jiang is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of deep learning, particularly in the area of target recognition. His innovative approach has the potential to enhance various applications in technology and research.

Latest Patents

Huan Jiang holds a patent for "Methods for recognizing small targets based on deep learning networks." This patent outlines a method that utilizes a deep learning network to recognize small targets. The process involves determining spot defect information from a collected image through a multi-layer recognition model. The method includes the creation of feature maps and the extraction of positional and classification information of spot defects.

Career Highlights

Huan Jiang is affiliated with Zhejiang Gongshang University, where he contributes to research and development in deep learning technologies. His work focuses on advancing methods that improve the accuracy and efficiency of target recognition systems.

Collaborations

Huan Jiang collaborates with Huiyan Wang, who is also involved in research related to deep learning and target recognition. Their partnership enhances the scope and impact of their innovative projects.

Conclusion

Huan Jiang's contributions to deep learning and target recognition exemplify the importance of innovation in technology. His patent and ongoing research at Zhejiang Gongshang University highlight his commitment to advancing this field.