A novel conditional inference technique for deep neural networks which takes the interaction by a human expert as test time constraints and perform inference conditioned upon these constraints.
Can exploit learnt correlations in a pre-trained DNN for semantic segmentation, without requiring any joint training of the network with the user inputs.
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