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.
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URL
http://arxiv.org/abs/1902.05387