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Domain adaptation

Research When a neural network model has been trained on a set of images representing the realizations of the input data distribution, it performs well on test data from the same distribution. However, in a large number of applications, the… Read More »Domain adaptation

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Active learning

Research Most current network models are trained by supervised bases. The cost of building these databases is high. Active learning consists in using a partially trained model to select the next set of data to annotate. These techniques allow to… Read More »Active learning