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cvpr-deci-2023

Meet Deci at CVPR and Enter Our Raffle for a Chance to Win an Amazon Gift Card

CVPR 2023 Raffle Amazon GC

We’re exhibiting at CVPR on June 18-22, 2003 at the Vancouver Convention Center. Book a meeting with Deci’s experts to learn how Deci’s Automated Neural Architecture Construction (AutoNAC) Engine can empower your team to build highly accurate and efficient models for your computer vision applications.

 

Reserve your spot in the raffle and drop by booth 1517 to see if you win! 🎁

*The raffle will take place at Deci's booth (1517) on June 21

Talk with Deci's Experts

By submitting this form you accept the terms and conditions of the raffle.

Don't Miss the Excitement at Booth 1517!

See Deci's E2E Deep Learning Platform in Action

  • Learn more about how we can help you achieve your specific goals
  • Get a walkthrough of Deci’s platform where you can perform the end-to-end deep learning development cycle – from creating your own model and choosing the relevant public dataset, to selecting the right hardware and defining optimization KPIs

 

 

Discover the Power of YOLO-NAS, a Model Generated by AutoNAC

See for yourself how YOLO-NAS:

  • Runs at unparalleled accuracy and speed, outperforming other well-known models. 
  • Is fully compatible with high-performance inference engines like NVIDIA® TensorRT™ and supports INT8 quantization.
  • Leverages cutting-edge techniques, such as attention mechanisms, quantization aware blocks, and reparametrization at inference time.
  • Is easy to fine-tune to achieve SOTA results using Google Colab Notebook with the SuperGradients open-source library.

 

 

Talk with Deci's Experts 1-on-1

Get a free consultation session and learn how other leading AI teams are collaborating with Deci to solve edge AI design and deployment challenges

RanZ

Ran Zilberstein
VP Engineering
LinkedIn →

Shani

Shani Perl
AI Product Manager
LinkedIn →

Natan Bagrov

Natan Bagrov
Computer Vision Team Lead
LinkedIn →

Harpreet-Sahota

Harpreet Sahota
DevRel Manager
LinkedIn →

Dan Bochman

Dan Bochman
Deep Learning Engineer
LinkedIn →

 

evs-meet-experts

 

AutoNAC (Neural Architecture Search Engine)

Automatically find the architecture that delivers the highest accuracy for your specific speed, size, and inference hardware targets

Tailored for Your Task & Performance Goals

Run a multi-objective search to generate an architecture optimized for several parameters (accuracy, throughput, latency, model size, and memory footprint)

Hardware Aware Neural Architecture Search

Take hardware constraints into account to unlock optimal efficiency that hit your performance targets

Outperforms any SOTA Computer Vision Model

Deliver the best accuracy and speed for your specific use case that outperform SOTA open-source neural networks

 

 

How to Find Deci's Booth 1517

CVPR 23 Deci Booth

Talk with Deci's Experts