Object Detection with Transformers

May 26, 2021 04:25 PM (PT)

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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:

  • Basics of object detection including main concepts and techniques
  • Main ideas from the DETR and Deformable DETR approaches to object detection
  • Overview of the core capabilities of Determined’s deep learning platform, with a focus on its support for effortless distributed training
  • How to serve models trained in Determined using MLflow
In this session watch:
Liam Li, Developer, Determined AI

 

Liam Li

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...
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