# Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision

arXiv: https://arxiv.org/abs/1807.00453 · HTML: https://mlsanity.com/paper/1807.00453/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jul 2018.

## Built on by (most cited first, 2 of 2)

- [Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference](https://mlsanity.com/paper/2312.03464/) (2023)
- [using multiple losses for accurate facial age estimation](https://mlsanity.com/paper/2106.09393/) (2021)

## Abstract (arXiv)

We propose a new framework for image classification with deep neural networks. The framework introduces intermediate outputs to the computational graph of a network. This enables flexible control of the computational load and balances the tradeoff between accuracy and execution time. Moreover, we present an interesting finding that the intermediate outputs can act as a regularizer at training time, improving the prediction accuracy. In the experimental section we demonstrate the performance of our proposed framework with various commonly used pretrained deep networks in the use case of apparent age estimation.