no code implementations • 29 Jan 2024 • Tom Dooney, Lyana Curier, Daniel Tan, Melissa Lopez, Chris Van Den Broeck, Stefano Bromuri
Specifically, our experiments show that training convolutional neural networks (CNNs) with our cDVGAN-generated data improves the detection of samples embedded in detector noise beyond the synthetic data from other state-of-the-art GAN models.