Reducing the covariate shift by mirror samples in cross domain alignment
Eliminating the covariate shift cross domains is one of the common methods to deal with the
issue of domain shift in visual unsupervised domain adaptation. However, current alignment …
issue of domain shift in visual unsupervised domain adaptation. However, current alignment …
Weighted meta-learning
Meta-learning leverages related source tasks to learn an initialization that can be quickly
fine-tuned to a target task with limited labeled examples. However, many popular meta …
fine-tuned to a target task with limited labeled examples. However, many popular meta …