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We present a deep-learning network that detects multiple small objects(hundreds to thousands) in a scene while simultaneously estimating their x,ypixel 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 thispaper, we describe the architecture of our network --- nicknamed ALIEN --- anddetail its performance when applied to vehicle detection.

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