Cluster Alignment With a Teacher For Unsupervised Domain Adaptation


Deep network has achieved remarkable performance in computer vision tasks like image recognition and object detection. However, in most cases, the classifier that trained on a specific dataset does not generalize well in any new dataset, this phenomenon is known as data shift problem. In order to tackle this data shift problem, we will learn how data adaptation works — enable or adapt the model to generalize well in both source and target domain.

Proposed Method

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