  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.
