12 citations · 13 across the 3 of their papers we have counts for
4 papers
Unknown Sample Discovery for Source Free Open Set Domain Adaptation
Chowdhury Sadman Jahan, Andreas Savakis
Open Set Domain Adaptation (OSDA) aims to adapt a model trained on a source domain to a target domain that undergoes distribution shift and contains samples from novel classes outs…
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
Chowdhury Sadman Jahan, Andreas Savakis
Domain adaptation (DA) strives to mitigate the domain gap between the source domain where a model is trained, and the target domain where the model is deployed. When a deep learnin…
Curriculum Guided Domain Adaptation in the Dark
Chowdhury Sadman Jahan, Andreas Savakis
Addressing the rising concerns of privacy and security, domain adaptation in the dark aims to adapt a black-box source trained model to an unlabeled target domain without access to…
ConDA: Continual Unsupervised Domain Adaptation
Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas Savakis
Domain Adaptation (DA) techniques are important for overcoming the domain shift between the source domain used for training and the target domain where testing takes place. However…