Neural Networks

A group of researchers has proposed a new instance segmentation method that achieves state-of-the-art performance on several popular benchmark datasets. Researchers’ main contribution is a novel spatial preservation module (SP)…

A group of researchers has collected and released a novel anti-spoofing dataset built on top of the popular CelebA dataset. The novel dataset, named CelebA-Spoof is a large scale dataset…

Voila is a new Python package and a recent addition to the Jupyter Notebook ecosystem, which can turn any Jupyter notebook into a standalone web application or a dashboard. A…

A group of researchers from the University of Beijing has proposed a novel implicit semantic data augmentation method that improves the generalization capabilities of deep neural networks. Data augmentation has…

Researchers from Facebook AI Research have proposed a new self-supervised method for image classification that allows reaching the same accuracy as state-of-the-art models in much fewer iterations. In their recent…

The team behind PyTorch has announced the release of PyTorch3D – a modular and efficient library for 3D deep learning. PyTorch3D offers differentiable operators for 3D deep learning, a fast…

A group of researchers from the Hebrew University of Jerusalem has developed a method that can successfully manipulate an input image based on the manipulated segmentation mask. The method, named…

Auto-Sklearn 2.0 – is the new version of the popular automated machine learning toolkit Auto-Sklearn. Researchers from several universities in Germany have together created the updated version of this toolkit…

Researchers from the University of Chinese Academy of Sciences, University of Science and Technology in China and Microsoft have joined forces on a project to develop a boundary refinement method…

A group of researchers from the University of Oxford has published a paper in which they try to answer the question: Can Autonomous Vehicles identify and adapt to distribution shifts?…

DeepFaceDrawing – a new method proposed by researchers from the University of Chinese Academy of Sciences is able to generate realistic face images from freehand sketches. The method leverages the…

Researchers from the University of Ulm have proposed a segmentation model that can perform well in adverse weather conditions. Their proposed method builds upon previous research in the direction of…

A group of researchers from the Disney Research Studios and ETH University have proposed a new deep learning-based method for face swapping that is able to produce highly realistic high-resolution…

Researchers from Google AI have presented an interesting novel method for object detection that takes into account the image context for improving detection performance. As part of a large project…

NVIDIA researchers have presented their new project StyleGAN2 at this year’s CVPR 2020. The novel method behind StyleGAN2 is based on previous advancements in generative modeling and the wide known…

Researchers from Facebook AI have presented a novel image segmentation method that can produce high-quality, precise segmentation masks. The method is based on a new neural network module called PointRend,…

A group of researchers from Duke University has proposed a novel state-of-the-art method for image super-resolution that is able to generate realistic very high-resolution images from a low-resolution input image.…

Researchers from Facebook AI have developed a neural network model that can translate code from one programming language to another. Their proposed model, called TransCoder is able to translate between…

A group of researchers from the Shangai Tech University, University of Leeds, and Zhegjiang University have developed a deep neural network for recovering 3D editable objects from a single image.…

In a novel paper published on this year’s CVPR2020, researchers from the Samsung AI Center in Moscow led by Konstantin Sofiiuk, describe their new method for interactive segmentation named f-BRS.…