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Generalizable semi-supervised learning method to estimate mass from sparsely annotated images
The deep neural network is initially trained to predict mass on laboratory data (bamboo) and then transfer learning is utilized to apply the same methods to estimate mass of sugarcane.
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth
Since the number of images for any given run are too large to fit on typical GPU vRAM, an implementation is shown that compensates for the limited memory but still achieve fast training times.
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