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Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks

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Figure

Figure 1: An example which illustrates that the trainingprocess of unsupervised domain adaptation on VisDA-2017may be dominated by the labeled source data
Figure 2: Overview of the proposed approach to train a target-specific network via collaborative learning with a domain adapta-tion network
Figure 4: The t-SNE plots of the middle hidden layers of thebaseline network (left) and target-specific network (right) inthe proposed model on the task of MNIST→SVHN
Table 1: Classification accuracy (%) of the proposed approach and previous works in the experiments of unsupervised domainadaptation on the digit and object datasets
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