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Random is the New Black: Real-World Position Estimation from Simulated Images

Simulation is a cheap and abundant source of data, which allows training deep neural networks on huge tailor-made datasets. Especially the ease of data labeling – in particular for costly labels such as in pixel-wise segmentation – makes simulation an interesting tool in deep learning. However, training a network on simulated data with the intent […]