Artificial Intelligence System Predicts Worsening Patient in Emergency Room

14 May 2021

Artificial Intelligence System Predicts Worsening Patient in Emergency Room

A group of researchers has created an approach to automatically predict the deterioration of patients’ condition using a neural network. The system was trained on chest x-rays and non-visual clinical…

TransGAN: two Transformer models as one GAN

26 February 2021

TransGAN: two Transformer models as one GAN

TransGAN is a GAN model in which the generator and discriminator are composed of two Transformer architectures. GAN architecture traditionally uses convolutions. In TransGAN, convolutions are replaced with Transformer. The…

Deep Neural Network Learns to “See” Through Obstructions

15 April 2020

Deep Neural Network Learns to “See” Through Obstructions

A group of researchers led by Yu-Lun Liu has proposed a deep learning-based method that removes unwanted obstructions such as raindrops, fences or window reflections from short videos. Very often,…

U-Net: Image Segmentation Network

23 November 2018
u-net

U-Net: Image Segmentation Network

U-Net is considered one of the standard CNN architectures for image classification tasks, when we need not only to define the whole image by its class but also to segment areas of…

New Datasets for 3D Human Pose Estimation

8 November 2018

New Datasets for 3D Human Pose Estimation

Human pose estimation is а fundamental problem in computer vision. Computer’s ability to recognize and understand humans in images and videos is crucial for multiple tasks including autonomous driving, action…

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

29 October 2018

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the…