Dec 4, 2020 · In this paper, we present a novel and effective method, namely Effective Label Propagation (ELP), to tackle this problem by using effective inter-domain and ...

Effective Label Propagation can be easily applied to various domain adaptation approaches and can facilitate their feature discrimination in the target ...

Dec 4, 2020 · As a general method, our ELP can be easily applied to various domain adaptation approaches and can facilitate their feature discrimination in ...

In this work, we propose a pseudo-label refinement strategy to mitigate common-class bias. We introduce prior-guidance to directly reweigh and refine the ...

Feb 17, 2023 · In this paper, we propose a novel domain adaptation method, which infers target pseudo-labels through cross-domain label propagation.

This paper presents a co-regularization based approach to semi-supervised domain adaptation. Our proposed approach (EA++) builds on the notion of augmented ...

Mar 15, 2021 · In this paper, we present a novel solution for unsupervised domain adaptation based on label propagation.

README.md · Issues 3 · Pull requests 5

Inspired by our the- ory, we adapt consistency-based semi-supervised learning methods to domain adaptation settings and gain significant improvements. 1.

Semi-supervised domain adaptation (SSDA) aims to adapt models trained from a labeled source domain to a different but related target domain, ...