In this paper, we proposed Bi-Directional ConvLSTM U-Net with Generative Adversarial Training (BLU-GAN), a novel deep learning model based on U-Net that generates precise predictions of retinal vessels combined with generative adversarial training. Bi-directional ConvLSTM, which can better integrate ...
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting originating in London, United Kingdom, by NewsRx journalists, research stated, "Data-drivenmachine learning ...
The GAN enhances the model robustness by applying adversarial training which fully discovers the underlying connections in both intra-view and cross-view aspects.Mohsin Raza SiyalMansoor EbrahimSyed Hasan AdilKamran Raza会议论文
This paper proposes a novel solution: the doubleflow convolutional Long Short-Term Memory (DF-ConvLSTM) - based Variational Autoencoder- Generative Adversarial Network (VAE-GAN) method. By co-training the encoder, generator, and discriminator, this approach leverages the enc...