Object Detection with Transformers: From Training to Deployment with Determined AI and MLflow
Object detection is a central problem in computer vision and underpins many applications from medical image analysis to autonomous driving. In this talk, we will review the basics of object detection from fundamental concepts to practical techniques. Then, we will dive into cutting-edge methods that use transformers to drastically simplify the object detection pipeline while maintaining predictive performance. Finally, we will show how to train these models at scale using Determined’s integrated deep learning platform and then serve the models using MLflow.
What you will learn:
I recently completed my PhD in Machine Learning from Carnegie Mellon University, where I was advised by Ameet Talwalkar. My thesis was on efficient methods for automating machine learning model to mak...