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 ...
A multi-disciplinary team of researchers linked atomic-scale features to efficient heat-to-electricity conversion, offering ...
Abstract: Infrared imaging systems are widely used across industries. However, their output images often exhibit striped noise due to the nonuniform response of the detection system, which ...
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