Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’, A Novel Unsupervised...

The application of self-supervised pretraining to computer vision has been beneficial, especially for object detection. However, previous approaches were not designed with...

NVIDIA And King’s College London Uses Cambridge-1 To build AI Models To Generate Synthetic...

NVIDIA and King's College London have revealed new information about one of the first projects to be run on Cambridge-1, the UK's...

Griffith University Researchers Design AI Video Surveillance System To Detect Social Distancing Breaches

Researchers at Griffith University have developed an AI video surveillance system to monitor social distancing breaches in an airport without compromising privacy....

Apple’s Machine Learning Team Introduces ‘Hypersim’: A Photorealistic Synthetic Dataset for Holistic Indoor Scene...

The computer vision community has been eager to find a way for computers and humans alike to be able to understand the...

Boston University Researchers Propose A Machine Learning Algorithm For Autonomous Vehicles Learning To Drive...

With self-driving cars that are powered by machine learning algorithms, vast amounts of driving data is required for them to function safely....

USC Researchers Propose a Novel Learning Framework, ‘Group-Supervised Learning (GSL)’, To Aid Neural Networks...

Artificial intelligence has proven itself to be adept at many tasks, from inventing human faces that don't exist to winning games of...

Google AI Releases The Open Buildings Dataset, A New Open-Source Dataset Containing The Locations...

Google uses artificial intelligence technology to find millions of buildings on the satellite map that were previously difficult to locate. These can...

Apple Explains Its New On-Device Machine Learning Methods To Recognize People In Photos With...

Photos are an integral way for people to browse, search, and relive life's moments with their friends and family. Photos on your...

Facebook AI Introduces DrQ-v2, A Model-Free Reinforcement Learning Algorithm For Visual Continuous Control

One challenge in the field of reinforcement learning (RL) is that high-dimensional observations are difficult to control. The last three years have...

Researchers From Tel Aviv University Propose LARGE, Latent-Based Regression through GAN Semantics

Researchers at Tel-Aviv University have created a method to solve regression tasks with little supervision effectively. The researchers noted that GANs are...

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