# Simultaneous x, y Pixel Estimation and Feature Extraction for Multiple Small Objects in a Scene: A Description of the ALIEN Network

arXiv: https://arxiv.org/abs/1902.05387 · HTML: https://mlsanity.com/paper/1902.05387/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Feb 2019.

## Built on by (most cited first, 1 of 1)

- [Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network](https://mlsanity.com/paper/2105.12056/) (2021)

## Abstract (arXiv)

We present a deep-learning network that detects multiple small objects (hundreds to thousands) in a scene while simultaneously estimating their x,y pixel locations together with a characteristic feature-set (for instance, target orientation and color). All estimations are performed in a single, forward pass which makes implementing the network fast and efficient. In this paper, we describe the architecture of our network --- nicknamed ALIEN --- and detail its performance when applied to vehicle detection.
