MapAnything is an open-source research framework for universal metric 3D reconstruction. At its core is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D ...

Abstract: The Kullback–Leibler divergence (KLD), which is widely used to measure the similarity between two distributions, plays an important role in many applications. In this article, we address the ...

Abstract: In this paper, we propose a deep metric learning with adaptively composite dynamic constraints (DML-DC) method for image retrieval and clustering. Most existing deep metric learning methods ...

Learn the benefits and risks of options and how to start trading options Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Samantha (Sam) Silberstein, CFP®, CSLP®, ...

This is the reference implementation of the paper "Map-free Visual Relocalization: Metric Pose Relative to a Single Image" presented at ECCV 2022. Standard visual relocalization requires hundreds of ...

When the Environmental Protection Agency released its plan earlier this month for addressing marine litter, it named five Asian nations—China, Indonesia, the Philippines, Thailand, and Vietnam—as ...

A road sign shows the speed limit in kilometers per hour, in Pointe-Fortune, Quebec, Canada, on February 17, 2021. ANDREJ IVANOV/AFP Going to a hardware store in Canada is a disorienting experience ...