Quickly identify object in many camera views using tree of neural nets

Quickly identify object in many camera views using tree of neural nets

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
arXiv paper abstract https://arxiv.org/abs/2106.10588v1
arXiv PDF paper https://arxiv.org/pdf/2106.10588v1.pdf
GitHub https://github.com/abhinavgoel95/Object-ReID-Hierarchical-Neural-Networks

… This paper describes a low-power technique for the object re-identification (reID) problem: matching a query image against a gallery of previously seen images.

… propose a novel hierarchical DNN architecture that uses attribute labels in the training dataset to perform efficient object reID.

… The small DNN at each leaf node is specialized to re-identify … only the images with the attributes identified

… With a 4% loss in accuracy, our approach realizes significant resource savings: 74% less memory, 72% fewer operations, and 67% lower query latency, yielding 65% less energy consumption.

Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website

LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b

Photo by Nathan Dumlao on Unsplash

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
AI News Clips by Morris Lee: News to help your R&D

I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.