Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi

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Existential Theory of the Reals,ated images. Careful selection of these initial values proved crucial in achieving accurate and visually appealing inpainted results. Furthermore, we explored various useful loss functions that can be employed within the model. We discovered that the choice of loss function also has a substantial ef

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https://doi.org/10.1007/978-3-030-81885-2erimental results show that the suggested semi-GAN approach, when applied to the PolypsSet and SUN datasets, produced a classification accuracy of 72.85% and 74.12% respectively. This represents a significant improvement over existing methods and highlights the potential of GANs in the medical image

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Clique, Independent Set, and Vertex Coverr pruning approach and demonstrate its efficacy by reducing the number of parameters and floating point operations while maintaining the mean Intersection over Union (mIoU) metric. We conduct experiments on two widely accepted semantic segmentation architectures: UNet and ERFNet. Our experiments and

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