Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds

27 Feb 2020Vinorth VaratharasanHyo-Sang ShinAntonios TsourdosNick Colosimo

Usually, Neural Networks models are trained with a large dataset of images in homogeneous backgrounds. The issue is that the performance of the network models trained could be significantly degraded in a complex and heterogeneous environment... (read more)

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