RF-DETR - Live Q&A with the engineers behind the model
Join us for a live, in-depth chat with Isaac Robinson and Matvei Popov, two of the authors behind the RF-DETR research paper!
This is your chance to go beyond the PDF and get answers directly from the team who created this cutting-edge vision model.
Get Your Questions Answered!
Have specific questions about RF-DETR's design, training, or results? Submit your questions ahead of time, and we'll do our best to address them live during the session: https://forms.gle/4mk8BzTLhE2HtK9MA
Pre-Session Reading
If you haven't read the paper yet, you can find the complete RF-DETR research paper here: https://arxiv.org/pdf/2511.09554
What We'll Cover
This live session will explore key aspects of the RF-DETR model and its practical application:
The Model's Architecture: A closer look at the key innovations in RF-DETR.
Neural Architecture Search (NAS): Discover how NAS can be leveraged to find the best-performing vision model tailored for your specific data and hardware—achieving the optimal balance of top accuracy and cost efficiency.
Benchmarking Results: See the latest comparison data for RF-DETR against other leading models.
Practical Implementation: We'll show you how to train RF-DETR models within the Roboflow platform.
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Every week we dive into the world of computer vision and explore new tools, interesting projects, and tutorials. This webinar is open to everyone, we hope to see you there!
We'll also make time at the end for open Q&A.