Abstract: The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual ...
Abstract: Optimized brain tumor segmentation is necessary for enhancing diagnostic and treatment accuracy. Traditional machine learning-based segmentation techniques are time-consuming, require expert ...
Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...
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