This inventor holds 1 USPTO granted patent. Top assignee: Deere & Company. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Baochen Sun in Object Detection
Introduction
Baochen Sun is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning, particularly in object detection. His innovative approach focuses on improving unsupervised domain adaptation (UDA) through advanced techniques.
Latest Patents
Baochen Sun holds a patent for "Object detection with cross-domain mixing." This patent describes implementations aimed at enhancing UDA by utilizing an improved adaptive teacher for object detection with cross-domain mix-up. The process involves several steps, including weak and strong augmentations of images from both target and source domains, leading to the generation of inter-domain mixes. This method allows for the joint training of a machine learning model, enhancing its performance in object detection tasks.
Career Highlights
Baochen Sun is currently employed at Deere & Company, where he applies his expertise in machine learning and object detection. His work has been instrumental in advancing the company's capabilities in this area. With a focus on innovation, he continues to push the boundaries of technology.
Collaborations
Some of Baochen Sun's notable coworkers include Bodi Yuan and Alexander Ngai. Their collaboration fosters a creative environment that encourages the development of cutting-edge solutions in the field of machine learning.
Conclusion
Baochen Sun's contributions to object detection and machine learning exemplify the spirit of innovation. His patent and work at Deere & Company highlight his commitment to advancing technology in meaningful ways.