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Deci and CVPR

Meet Deci at CVPR 2022 and Enter Our Raffle for a Chance to Win a Drone

Meet with Deci’s experts to learn how Deci’s Automated Neural Architecture Construction 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 #1009 to see if you win! 🎁

*The raffle will take place at Deci's booth (# 1009)

Register now, visit booth #1009, and you might just win a drone!

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

Don't Miss the Excitement at Booth 1009!

Deci Deep Learning Platform

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

 

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Live Demo: Discover the Power of AutoNAC

See for yourself how Deci:

  • Outperforms the leading SOTA models with a live demo of our AutoNAC generated models
  • Enables you to build outstanding deep learning models, faster
  • Boosts accuracy and inference performance on any edge devices

 

PLUS: Get a chance to win a drone!

Computer Vision

 

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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 CV design and deployment challenges

Lotem Fridman

Lotem Fridman
Head of Technology Initiatives
LinkedIn →

Amos Gropp

Amos Gropp
Deep Learning Research Engineer
LinkedIn →

Ofri Masad

Ofri Masad
Head of AI
LinkedIn →

Nadav Cohen

Nadav Cohen
VP Product
LinkedIn →

 

enter-raffle

 

AutoNAC (Neural Architecture Search Engine)

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

Reach Performance

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)

Neural Architecture Search

Hardware Aware Neural Architecture Search

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

SOTA Computer Vision Model

Outperforms any SOTA Computer Vision Model

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

 

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How to Find Deci's Booth 1009

CVPR Deci Booth

 

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