A DNN trained with per-run total mass labels, via a summed-prediction loss, estimates material mass from images more accurately than calibrated stereo-volume methods.
Semi-supervised elastic net for pedestrian counting
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Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth
A DNN trained with per-run total mass labels, via a summed-prediction loss, estimates material mass from images more accurately than calibrated stereo-volume methods.