DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised\n Domain Adaptation

In computer vision, one is often confronted with problems of domain shifts,\nwhich occur when one applies a classifier trained on a source dataset to target\ndata sharing similar characteristics (e.g. same classes), but also different\nlatent data structures (e.g. different acquisition conditions). ... View More