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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

IEEE Transactions on Pattern Analysis and Machine Intelligence(2018)10.1109/tpami.2017.2699184Source: DataRank Database

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs is a research paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2018). On theSindex it has a DataRank of 1.5. It has been cited 21,791 times.

N/A

1.5DataRank · unranked

Scored on demand from live citation data

21,791 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: closedTopics (20)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.5

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (6)

George Papandreou ORCID,Iasonas Kokkinos ORCID,Kevin Murphy ORCID,Alan L. Yuille,Alan Yuille ORCID

Live enrichment

PubMed:28463186

European Commission

Grant: 643666

ICT-Supported Bath Robots

NVIDIA Corporation

ARO 62250-CS

FP7-MOBOT

H2020-ISUPPORT EU

FP7-RECONFIG

closedLicense: IEEE Copyright

publisherhttp://xplorestaging.ieee.org/ielx7/34/8306529/07913730.pdf?arnumber=7913730

https://doi.org/10.1109/tpami.2017.2699184

http://arxiv.org/pdf/1606.00915

https://dx.doi.org/10.48550/arxiv.1606.00915

https://pubmed.ncbi.nlm.nih.gov/28463186

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

FOS: Computer and information sciencesTechnologyScience & TechnologyComputer Vision and Pattern Recognition (cs.CV)ALGORITHMSRECOGNITIONComputer Science - Computer Vision and Pattern Recognitionsemantic segmentationatrous convolutionNETWORKSEngineeringconditional random fieldsCONTEXTArtificial IntelligenceComputer ScienceElectrical & ElectronicConvolutional neural networksDISCRETE WAVELET TRANSFORM