Neural Networks

A group of researchers has collected and released a new dataset of facial expressions extracted from pre-modern Japanese art. The dataset, called KaoKore contains 5552 RGB image files of size…

Researchers from the Visual Geometry Group at the University of Oxford have proposed a new self-supervised method for dense tracking which outperforms current state-of-the-art methods in self-supervised visual object tracking.…

Generative Adversarial Networks have been applied to many domains in image-to-image translation. However, it represents a challenge for GANs to successfully transfer both style and content from one to another…

Microsoft announced that it has trained a massive, 17-billion parameter language model that outperforms current state-of-the-art models on many NLP tasks. Turing-NLG, as the new model was called has almost…

In a collaboration with researchers from Synthesis AI and Columbia University, researchers from Google have developed a new method that can detect transparent objects. Detection of transparent objects is a…

A group of researchers from the Minessota Robotics Institute has proposed a novel method that uses deep learning for enhancement and super-resolution of underwater images. In their paper, named “Simultaneous…

Researchers from Facebook AI Research have open-sourced CCMatrix – a billion-scale text dataset for training translational models. In their blog post, researchers shared details on the dataset, how it was…

A group of researchers from the Intelligent Navigation Laboratory at Beijing Institute of Technology has proposed a novel method that uses GANs to detect lane markings in low-light conditions. In…

Researchers from Google Research, have proposed a new, state-of-the-art method for text generation. In their novel paper, “Encode, Tag, Realize: High-precision Text Editing”, they introduce a novel sequence-to-sequence model that…

Researchers from Google Health have developed a method that uses deep learning to detect anemia only from the eye. In their recent paper published in Nature Biomedical Engineering, researchers describe…

Facebook AI has announced the release of Polygames – a new open-source environment for training AI agents to master strategy games through self-play. The goal of Polygames is to provide…

Researchers from Google Brain have presented Meena – the new state-of-the-art chatbot that can chat almost about anything. In their new paper, named “Towards a Human-like Open-domain Chatbot”, researchers describe…

Researchers from the Inception Institute of Artificial Intelligence, UAE and Indiana University have proposed a novel state-of-the-art method for video object segmentation based on graph neural networks. In their work,…

In a joint work, researchers from several universities have developed a novel method for unsupervised video object segmentation that significantly outperforms other existing methods at this task. The new deep…

Researchers from Google Research have proposed a new state-of-the-art method in semi-supervised image classification. The problem of image classification has been successfully tackled in the past several years thanks to…

In the past few years, researchers have discovered numerous ways on how to fool neural networks. The input samples that can do that were called adversarial examples and they were…

Researchers from the Electronics and Telecommunications Research Insitute of Korea have proposed a new state-of-the-art method for instance segmentation. The novel method called CenterMask is based on a fully-convolutional one-stage…

A group of researchers from SenseTime Research, NLPR, and Nanyang Technological University has proposed a novel method that generates a video of a person talking, given audio signal and a…

Group of researchers from the University of Texas, Austin has developed a novel 6D pose estimation method that significantly outperforms existing methods. Their new approach, called HybridPose, predicts an intermediate…

In a recent paper, researchers from Google AI Research propose a method for precipitation forecasting using deep learning and convolutional neural networks. Their approach, different than traditional weather models, does…