AutoDIAL: Automatic Domain Alignment Layers

@article{Carlucci2017AutoDIALAD,
  title={AutoDIAL: Automatic Domain Alignment Layers},
  author={Fabio Maria Carlucci and Lorenzo Porzi and Barbara Caputo and Elisa Ricci and Samuel Rota Bul{\`o}},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={5077-5085}
}
Classifiers trained on given databases perform poorly when tested on data acquired in different settings. This is explained in domain adaptation through a shift among distributions of the source and target domains. Attempts to align them have traditionally resulted in works reducing the domain shift by introducing appropriate loss terms, measuring the discrepancies between source and target distributions, in the objective function. Here we take a different route, proposing to align the learned… CONTINUE READING
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