Results 31 to 40 of about 2,700,666 (65)

The iMet Collection 2019 Challenge Dataset [PDF]

open access: yesarXiv, 2019
Existing computer vision technologies in artwork recognition focus mainly on instance retrieval or coarse-grained attribute classification. In this work, we present a novel dataset for fine-grained artwork attribute recognition. The images in the dataset are professional photographs of classic artworks from the Metropolitan Museum of Art, and ...
arxiv  

Fuzzy Limits of Fuzzy Functions [PDF]

open access: yesarXiv, 2019
In this paper, we propose the theory of fuzzy limit of fuzzy function depending on the Altai principle and using the representation theorem (resolution principle) to run the fuzzy ...
arxiv  

Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration [PDF]

open access: yes
This Research through Design paper explores how object detection may be applied to a large digital art museum collection to facilitate new ways of encountering and experiencing art. We present the design and evaluation of an interactive application called SMKExplore, which allows users to explore a museum's digital collection of paintings by browsing ...
arxiv   +1 more source

Geographic Distribution and Phylogeny of Soricine Shrew-Borne Seewis Virus and Altai Virus in Russia. [PDF]

open access: yesViruses, 2021
Yashina LN   +12 more
europepmc   +1 more source

The Maximum Theoretical Ground Speed of the Wheeled Vehicle [PDF]

open access: yesarXiv
In this paper, we propose one possible theoretical limit on the maximum ground speed of wheeled vehicles.
arxiv  

"Flora of Russia" on iNaturalist: a dataset. [PDF]

open access: yesBiodivers Data J, 2020
Seregin AP   +111 more
europepmc   +1 more source

MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation [PDF]

open access: yesarXiv
Visual art (VA) recommendation is complex, as it has to consider the interests of users (e.g. museum visitors) and other stakeholders (e.g. museum curators). We study how to effectively account for key stakeholders in VA recommendations while also considering user-centred measures such as novelty, serendipity, and diversity.
arxiv  

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