Recoverability maps use synthetic sweeps of viewing angles and artifacts to quantify the recoverable fraction of parameter space for license plate restoration, with the best model succeeding on 93% and geometry setting the limit over architecture choice.
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Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing
Recoverability maps use synthetic sweeps of viewing angles and artifacts to quantify the recoverable fraction of parameter space for license plate restoration, with the best model succeeding on 93% and geometry setting the limit over architecture choice.