A Novel Hierarchical Generative Model for Semi-Supervised Semantic Segmentation of Biomedical Images
Abstract: In biomedical vision research, a significant challenge is the limited availability of pixel-wise labeled data. Data augmentation has been identified as a solution to this issue through ...
Abstract: Accurate building semantic segmentation in remote sensing imagery is essential for urban planning, environmental monitoring, and map creation. While deep learning has achieved significant ...
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