Abstract: Unsupervised domain adaptation semantic segmentation for high spatial resolution remote sensing imagery aims to utilize a large amount of labeled data from the source domain to train a ...
Abstract: In this paper, we address the dual problems of retrieval and part (Region Of Interest (ROI)) matching, especially in large-scale image datasets. At the heart of our solution lies a ...
Semantic segmentation is critical in medical image processing, with traditional specialist models facing adaptation challenges to new tasks or distribution shifts. While both generalist pre-trained ...
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