Beyond Sharing Weights for Deep Domain Adaptation

21 Mar 2016 Artem Rozantsev Mathieu Salzmann Pascal Fua

The performance of a classifier trained on data coming from a specific domain typically degrades when applied to a related but different one. While annotating many samples from the new domain would address this issue, it is often too expensive or impractical... (read more)

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