CVPR Daily - Thursday

DAILY T h u r s d a y AI Spotlight News 15 Solving Hard Problems in Computer Vision With Synthetic Data AI.Reverie is a startup focusing on the generation of high-quality synthetic data to help train computer vision algorithms in the future. In a recent video posted on their website, they make the case that a necessary step towards the advancement of computer vision will be to solve the bottlenecks of data curation and annotation . Their CEO and founder Daeil Kim tells how synthetic data can solve both of these issues while providing additional advantages over real-world data. Kim’s talk concludes by discussing real-world case studies for orbital insights, retail, and agriculture that are currently being solved using synthetic data from AI.Reverie. Read More AI Spotlight News AI Annotation During Covid-19 How to efficiently manage work-from-home annotation service teams? Vision-based AI automation industries have massive needs for training data , which is typically prepared by professional annotation service companies. As a result of the Covid-19 pandemic and lockdowns, employees for these service companies have been forced to work from home, making the office-based managed annotation work more closely resemble a crowdsourcing business. As a result, managing professional annotation service teams from home without sacrificing the annotation quality and speed is rapidly becoming a challenging problem during the pandemic. Read More Algolux Wins Top AI Award For ADAS and Autonomous Vehicles Algolux is a Montreal, Canada-based automotive industry provider founded on research at the intersection of deep learning, computer vision and computational imaging . The company announced on its website having won the top award at the 2020 Tech.AD Europe Conference . Algolux’s Eos Embedded Perception Software was recognized as the most innovative use of Artificial Intelligence and Machine Learning in the development of Autonomous Vehicles and Respective Technologies. Algolux’s Eos Embedded Perception Software leverages deep learning to address the robustness and scalability limitations of today’s vision system architectures. Read More