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Found 7 papers, 1 papers with code
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
In particular, we examine the performance of variational autoencoders and generative adversarial networks, expanding the GAN architecture by an additional regularisation network and a simple, yet effective postprocessing step.
Towards More Realistic Membership Inference Attacks on Large Diffusion Models
In this paper, we examine whether it is possible to determine if a specific image was used in the training set, a problem known in the cybersecurity community and referred to as a membership inference attack.
Selectively increasing the diversity of GAN-generated samples
Especially prone to mode collapse are conditional GANs, which tend to ignore the input noise vector and focus on the conditional information.
Convolutional Neural Networks in Orthodontics: a review
Convolutional neural networks (CNNs) are used in many areas of computer vision, such as object tracking and recognition, security, military, and biomedical image analysis.
Spontaneous preterm birth prediction using convolutional neural networks
Based on the conducted results and model efficiency, we decided to extend U-Net by adding a parallel branch for classification task.
Estimation of preterm birth markers with U-Net segmentation network
To achieve this goal, we propose to first use a deep neural network architecture for segmenting prenatal ultrasound images and then automatically extract two biophysical ultrasound markers, cervical length (CL) and anterior cervical angle (ACA), from the resulting images.
Comixify: Transform video into a comics
In this paper, we propose a solution to transform a video into a comics.
