This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images.
Abstract: Foundation models have triggered a paradigm shift in computer vision and are increasingly being adopted in remote sensing, particularly for multispectral imagery. Yet, their potential in ...
Since becoming Italian prime minister in 2022, Giorgia Meloni has become a model that the French right aspires to emulate, even though her supposed success is more narrative than reality, with Italy ...
Climb to the top of Mount Fay and collect the Faydown Cloak (unlocking double jump). From there, slide down the mountain to the left, and after the first slope (halfway down), take the narrow path to ...
In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features: If your work has ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a small-scale, inquiry-based experiment for senior high school students ...
Liquid C2’s Cloudmania is partnering with AvePoint, a software vendor, to enhance cloud transformation across Africa, open new markets, and capitalise on opportunities for secure cloud adoption across ...
BOCA RATON, Fla.--(BUSINESS WIRE)--Today, Boyd announced it has delivered five million liquid cold plates to hyperscalers, essential technology for Artificial Intelligence (AI) processor liquid ...
Alibaba Group Holding continues to scale up its artificial intelligence efforts with the release of its biggest AI model to date, joining the ranks of OpenAI, Google DeepMind and other major players ...
Editor’s note (September 9th): This article has been updated. WHEN TECH folk talk about the lacklustre progress of large language models (LLMs), they often draw an analogy with smartphones. The early ...
Abstract: Denoising diffusion probabilistic models (DDPMs) exhibit significant potential in the realm of medical image segmentation. Nevertheless, current DDPM implementations rely on original image ...
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