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The training data are urban environment depth maps for this coarse stage, they are rendered from the top view of 3D urban meshes from a photogrammetry dataset of English towns. After training on this data, Alis draws from the normal distribution to generate arbitrary size depth maps; in the c...
Cancel Create saved search Sign in Sign up Reseting focus {{ message }} axinc-ai / ailia-models Public Notifications You must be signed in to change notification settings Fork 332 Star 2.1k The collection of pre-trained, state-of-the-art AI models for ailia SDK 2.1k...
you have to use some advanced {purrr} to work with the data, construct new functions, and work with extracted data from webpages to transform it into usable formats. We aim to answer the amusing quip that every 4 days a country celebrates its independence from the UK with this dataset!
We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment. Notably, our method runs on datasets without any scene- or object-level 3D supervision. Our key...
point cloud; semantic segmentation; deep learning; machine learning; construction; automation; open source; dataset; survey 1. Introduction To understand the semantic segmentation of point clouds in the 3D domain, it is helpful to first understand the origins of this technique in the 2D domain. ...
Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell tra
He has been supported by foundations of private and public companies and by a postdoctoral of the University of Florence. In 1999, he moved to the University of Siena, Siena, Italy, where he was initially a Research Associate and is currently an Associate Professor at the Department of ...
Recently, Alzheimer’s disease has been detected by introducing transfer learning from a dataset of 2D images to 3D CNNs to enable early diagnosis of Alzheimer’s disease using MRI imaging datasets [99]. 6.2. Cancer Detection Deep learning methods, such as CNN, can extract hierarchical features...
Dissolved Fe is known to have a hybrid type distribution in the oceans that is dominated by microbial uptake, recycling and scavenging processes, leading to generally low surface concentrations (Bruland et al., 2014). Input processes of dissolved and particulate Fe in the Southern Ocean include ...