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Texture-based Error Analysis for Image Super-Resolution

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2022)10.1109/cvpr52688.2022.00216Source: DataRank Database

Texture-based Error Analysis for Image Super-Resolution is a research paper published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022). On theSindex it has a DataRank of 0. It has been cited 16 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access16 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (18)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Zudi Lin ORCID,Donglai Wei ORCID,Yulun Zhang ORCID,Jinjin Gu ORCID,Hanspeter Pfister ORCID

Live enrichment

PubMed:36465475 PMC:PMC9719360 OpenAlex:https://openalex.org/W4310772730

NSF

Grant: NCS-FO-2124179

NIH

Grant: 5U54CA225088-03

Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule Drugs

NCI NIH HHS

Grant: U54 CA225088

National Science Foundation

Grant: 2124179

NCS-FO: Empowering Data-Driven Hypothesis Generation for Scalable Connectomics Analysis

greenLicense: STM Policy #29

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9719360

publisherhttp://xplorestaging.ieee.org/ielx7/9878378/9878366/09879535.pdf?arnumber=9879535

conferencehttps://doi.org/10.1109/cvpr52688.2022.00216

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36465475

Fields of Study

Advanced Image Processing TechniquesAdvanced Vision and ImagingCell Image Analysis Techniques0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

InterpretabilityComputer scienceLeverage (statistics)DebuggingArtificial intelligenceClassifier (UML)Variety (cybernetics)Image (mathematics)Data miningMetric (unit)Pattern recognition (psychology)Machine learningProgramming language