Abstract: This paper introduces a physics-based intermediate estimate as input to the Attention-Unet (ATTN-Unet) architecture for solving the electromagnetic inverse scattering problem in microwave ...

This project implements a machine learning model based on the UNet architecture for nuclei instance segmentation. It was developed as part of a university project. Nuclei instance segmentation plays a ...

Image inpainting is one of the classic problems in computer vision, and it aims to restore masked regions in an image with plausible and natural content. Existing work employing traditional image ...

Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment ...

Diffusion models represent a cutting-edge approach to image generation, offering a dynamic framework for capturing temporal changes in data. The UNet encoder within diffusion models has recently been ...

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The architect begins the conversation by describing the architect’s role in accepting and driving changing norms. In fact, she believes architects must be “inventive and agile, needing to be so quick ...

This paper studies the effect of breaking single-class building data into multi-class building data for semantic segmentation under end-to-end architecture such as UNet, UNet++, DeepLabV3, and ...