5 citations · 14 across the 5 of their papers we have counts for
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cs.CV2024
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations
Serban Stan, Mohammad Rostami
Semantic segmentation models trained on annotated data fail to generalize well when the input data distribution changes over extended time period, leading to requiring re-training…
cs.CV2022★ 3 cited
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images
Serban Stan, Mohammad Rostami
The recent prevalence of deep neural networks has lead semantic segmentation networks to achieve human-level performance in the medical field when sufficient training data is provi…
cs.CV2021★ 4 cited
Domain Adaptation for the Segmentation of Confidential Medical Images
Serban Stan, Mohammad Rostami
Convolutional neural networks (CNNs) have led to significant improvements in the semantic segmentation of images. When source and target datasets come from different modalities, CN…