Jul 8, 2022 · This paper presents an unsupervised domain adaptation framework based on category-level regularization that regularizes the category distribution from three ...

Sep 16, 2022 · This paper presents an unsupervised domain adaptation framework based on category-level regularization that regularizes the category distribution from three ...

An unsupervised domain adaptation framework based on category-level regularization that regularizes the category distribution from three perspectives is ...

This paper presents an unsupervised domain adaptation framework based on category-level regularization that regularizes the category distribution from three ...

Nov 21, 2024 · This paper presents an unsupervised domain adaptation framework based on category-level regularization that regularizes the category ...

This procedure generally expands the source domain dataset and provides a useful regularization technique to increase the diversity of the dataset. Although ...

This method has outperformed several state-of-the-art UDA segmentation methods under the UDA fundus segmentation with few labeled source data and a ...

Jul 8, 2022 · In this paper, we propose an unsupervised domain adaptation framework based on category-level regularization for cross-domain fundus image ...

It allows for the training of deep networks on labeled source domains and subsequently applying them to unlabeled target domains with distinct visual ...

Unsupervised Domain Adaptive Fundus. Image Segmentation with Category-Level Regularization. In. International Conference on Medical Image Computing and.