One-to-multiple medical image segmentation aims to directly test a segmentation model
trained with the medical images of a one-domain site on those of a multiple-domain site …

Unsupervised domain adaptation aims to generalize the knowledge learned on a labeled
source domain across an unlabeled target domain. Most of existing unsupervised …

Unsupervised domain adaptation aims to transfer knowledge from labeled source domain to
unlabeled target domain. Traditional methods usually achieve domain adaptation by …

Simple Summary Identifying wildlife species is crucial in various wildlife monitoring tasks. In
this paper, a wildlife image recognition approach is implemented based on deep learning …

Abstract Unsupervised Domain Adaptation (UDA) leverages a labeled source domain to
solve tasks in an unlabeled target domain. While Transformer-based methods have shown …

Cross-domain aspect-based sentiment analysis aims to leverage knowledge from the
source domain to identify the sentiment polarity towards a given aspect attribute in the text …

Disease prediction is greatly challenged by the scarcity of datasets and privacy concerns
associated with real medical data. An approach that stands out to circumvent this hurdle is …