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Abstract : Vehicle detection in remote sensing images plays an important role for its wide range of applications. However, it is still a challenging task due to their small sizes. In this paper, we propose an efficient single-shot-based detector, called SuperDet, which achieves a combination of a super resolution algorithm with a deep convolutional neural network (DCNN)-based object detector.
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