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Exploring neural architectures for simultaneously recognizing multiple visual attributes

Scientific Reports(2024)10.1038/s41598-024-80679-6Source: DataRank Database

Exploring neural architectures for simultaneously recognizing multiple visual attributes is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: goldTopics (31)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Anne B. Sereno ORCID,Zhixian Han ORCID

Live enrichment

PubMed:39627268 PMC:PMC11615371 OpenAlex:https://openalex.org/W4404978190

NIH CTSI

Grant: 20000703

FWCI

0.00

Citation Percentile

0.2%

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1038/s41598-024-80679-6

publisherhttps://doi.org/10.1038/s41598-024-80679-6

publisherhttps://www.nature.com/articles/s41598-024-80679-6.pdf

publisherhttps://www.nature.com/articles/s41598-024-80679-6

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39627268

Fields of Study

Visual perception and processing mechanismsFace Recognition and PerceptionNeural dynamics and brain functionHumansNeural Networks, ComputerVisual PathwaysVisual PerceptionPattern Recognition, VisualModels, Neurological

MeSH Terms

HumansModels, NeurologicalPattern Recognition, VisualVisual PathwaysVisual PerceptionNeural Networks, Computer

Keywords

Computer scienceCognitive neuroscience of visual object recognitionVisual systemVisual processingProcess (computing)Artificial intelligenceArtificial neural networkObject (grammar)Visual perceptionVisualizationPattern recognition (psychology)Machine learningPerceptionVisual cortexNeuroscienceBiology