To enhance the transferability of object detection models in real-world scenarios where data
is sampled from disparate distributions, considerable attention has been devoted to domain …

Tooth point cloud segmentation is a fundamental task in many orthodontic applications.
Current research mainly focuses on fully supervised learning which demands expensive …

In unsupervised transfer learning for medical image segmentation, where existing
algorithms face the challenge of error propagation due to inaccessible source domain data …