1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton +2
Domain adaptive semantic segmentation aims to generate accurate and dense predictions for an unlabeled target domain by leveraging a supervised model trained on a labeled source do…
eess.IV2023
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman +2
Recently, deep learning-based methods achieved promising performance in nuclei detection and classification applications. However, training deep learning-based methods requires a l…