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/PRNewswire/ Deep neural networks are popularly used for object recognition, detection, and segmentation across different avenues. Of these, generative.
Neural networks, widely used for object recognition and segmentation, have multiple applications in cybersecurity, social media, and healthcare. Researchers from Chung-Ang University recently developed a novel generative adversarial neural network (GAN) based on Riemannian geometry, which overcomes multiple disadvantages of existing state-of-the-art GANs. This GAN, known as SphereGAN, demonstrates greater accuracy in 2D and 3D…