Results 21 to 30 of about 5,574,901 (259)
Multi-Frame Labeled Faces Database: Towards Face Super-Resolution from Realistic Video Sequences
Forensically trained facial reviewers are still considered as one of the most accurate approaches for person identification from video records. The human brain can utilize information, not just from a single image, but also from a sequence of images (i.e.
Martin Rajnoha +2 more
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The database here described contains data relevant to preterm infants' movement acquired in neonatal intensive care units (NICUs). The data consists of 16 depth videos recorded during the actual clinical practice. Each video consists of 1000 frames (i.e., 100s). The dataset was acquired at the NICU of the Salesi Hospital, Ancona (Italy). Each frame was
Migliorelli L. +4 more
openaire +6 more sources
Meeting Up Together: Economic Embeddedness of Social Capital in America
Where do people meet? And how does their region’s wealth effect where they meet? Investigating these patterns across the United States, we explore community organization and association venues based on data provided from Meetup.com.
Tyler Horan
doaj +1 more source
arXiv admin note: text overlap with arXiv:2009 ...
Scarlett Raine +5 more
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EmoStudent: Developing a Dataset to Analyse Students' Emotional Well-Being
This article introduces an initial version of a dataset designed to educate and assess models that concentrate on studying of the emotional condition of students throughout the remote learning process. This dataset comprises short video clips showing the
Svitlana Antoshchuk, Anastasiia Breskina
doaj +1 more source
Ru-Birds.RU, bird observations from Russia and neighbouring regions: an occurrence dataset [PDF]
The dataset covers bird observation occurrences in Russia and neighbouring regions (ex-USSR countries and some other countries of Eastern and Western Europe) from 2001–2021. It is based on the internet platform “Online bird observation diaries” (ru-birds.
Ilya Ukolov +4 more
doaj +3 more sources
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Code available at https://github.com/google-research/meta ...
Eleni Triantafillou +10 more
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State-of-the-art deep neural networks are trained with large amounts (millions or even billions) of data. The expensive computation and memory costs make it difficult to train them on limited hardware resources, especially for recent popular large language models (LLM) and computer vision models (CV).
Daquan Zhou +7 more
openaire +4 more sources
The Mainz Cuneiform Benchmark Dataset Series: Sign Annotations of 3D Rendered Tablets
This paper introduces the Mainz Cuneiform Benchmark Dataset (MaiCuBeDa) and the Mainz Cuneiform Benchmark Dataset for the Haft Tappeh Collection (MaiCuBeDa HT), two datasets of cuneiform sign annotations on renderings of 3D models of cuneiform tablets ...
Timo Homburg +3 more
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Modeling of the Hodgkin–Huxley neural oscillators dynamics using an artificial neural network [PDF]
The purpose of this study — to represent a detailed description of the procedure for creating and training a neural network mapping on the example of the dynamics modeling of a neural oscillator of the Hodgkin–Huxley type; to show that the ...
Kuptsov, Pavel Vladimirovich +1 more
doaj +1 more source

