학술논문

Simultaneous x, y Pixel Estimation and Feature Extraction for Multiple Small Objects in a Scene: A Description of the ALIEN Network
Document Type
Working Paper
Source
Subject
Computer Science - Computer Vision and Pattern Recognition
Computer Science - Machine Learning
Statistics - Machine Learning
68T45
I.2.10
Language
Abstract
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.
Comment: 6 pages, 4 figures