Sequential Unsupervised Domain Adaptation through Prototypical Distributions

By Mohammad Rostami, Aram Galstyan. 2020

7 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Serban Stan
2. Mohammad Rostami
3. Zixuan Ke
4. David Isele
5. Gyuhak Kim
6. Liyuan Wang
7. Leonidas Spinoulas

Citations in the corpus

• Unsupervised Model Adaptation for Continual Semantic Segmentation (2020, methodology): “Wasserstein Distance (WD) has been used successfully for domain alignment in the UDA literature (Bhushan Damodaran et al. 2018b; Rostami et al. 2019; Xu et al. 2020; Li et al. 2020; Rostami and Galstyan 2020).”