Dingfeng Shi

Title: Innovations of Dingfeng Shi in Fine-Grained Image Recognition

Introduction

Dingfeng Shi is a notable inventor based in Beijing, China. He has made significant contributions to the field of image recognition technology. His innovative work focuses on enhancing the accuracy and efficiency of fine-grained image classification.

Latest Patents

Dingfeng Shi holds a patent for a "Fine-grained image recognition method and apparatus using graph structure represented high-order relation discovery." This patent outlines a method that involves inputting an image into a convolutional neural network feature extractor. The process includes extracting two layers of network feature graphs, constructing a hybrid high-order attention module, and forming a high-order feature vector pool. The method utilizes semantic similarity among high-order features to create representative vector nodes, ultimately leading to fine-grained classification results.

Career Highlights

Dingfeng Shi is affiliated with Beihang University, where he continues to advance research in image recognition. His work has garnered attention for its innovative approach to utilizing graph structures in machine learning.

Collaborations

Dingfeng has collaborated with notable colleagues, including Jia Qi Li and Yifan Zhao, contributing to the advancement of their shared research interests.

Conclusion

Dingfeng Shi's contributions to fine-grained image recognition demonstrate his expertise and innovative spirit in the field of technology. His patent reflects a significant advancement in image classification methods, showcasing the potential for future developments in this area.