Neural Networks

A group of researchers from Google has announced the release of a new dataset and benchmark for navigation instruction called Room-across-Room (RxR). Robotic navigation is one of the major challenges…

Researchers from Facebook AI have open-sourced a method and a system that can predict if a Covid patient will need intensive care, using chest x-ray images and self-supervised learning. In…

Researchers from Baidu Inc. have announced the release of a novel image segmentation toolkit called PaddleSeg. The development kit was built in order to help researchers and engineers working in…

There’s been a lot of hype around OpenAI’s powerful GPT-3 model, which proved to be able to spin novel super-realistic human-like articles but also tackle many different NLP tasks using…

A large portion of the research experiments in Computer Vision in the past decade were using the ImageNet dataset. Over the years it has become the default and standard benchmark…

Researchers from Google AI have presented a new method for recognizing poses and pose similarity in images and videos. Images and videos contain 2D information about some portion of the…

A group of researchers from ETH University has proposed a novel method for object semantic segmentation that exploits video data and spatio-temporal consistencies. Arguing that current approaches for object segmentation…

In a joint project, researchers from several universities in China and UK have proposed a new powerful neural network which has a VGG-like plain and simple architecture using only a…

Researchers from OpenAI have presented their new model that can generate realistic images given text descriptions. The model, called DALL-E is based on OpenAI’s powerful GPT-3 model and can generate…

LambdaNetworks – researchers propose a new type of deep neural networks that are computationally efficient while maintaining on-par performance with existing classification models. Based on an interesting idea, Lambda Networks…

Recently, a novel and powerful deep variational autoencoder was proposed, called IntroVAE. The model was able to learn how to generate highly-realistic images. The key feature of this model was…

We have written before about Google’s new Vision Transformer model which successfully applied the powerful Transformer architecture to a computer vision problem. Originally designed for natural language processing tasks, transformers…

Generative Adversarial Networks are known to be capable of generating highly-realistic synthetic images due to their representation learning capabilities. However, many of the GAN models fail to disentangle identity and…

Researchers from Facebook AI Research, have open-sourced the implementation of the state-of-the-art voice model that can separate up to five different voices in a simultaneous conversation. In July this year,…

CML or Continuous Machine Learning is a novel open-source library for continuous integration and continuous delivery (CI/CD) specifically tailored for machine learning projects. The new CI library was developed by…

Object detectors based on deep convolutional neural networks have excelled in their job in the past few years. Most of these models are actually fully-convolutional neural networks that use one…

Researchers from Facebook AI have developed a general AI algorithm that can play multiple different games including Chess, Poker, and Go. Beating humans in Chess and other similar games such…

Rel3D – A novel large-scale benchmark for spatial relations in 3D was recently released by researchers from the University of Michigan and Princeton University. The new benchmark tries to overcome…

Researchers from Yandex research have proposed a new method for semantic image editing in which a GAN output can be controlled by navigating its parameter space. The name of the…