VisE_CO_cel.tar.gz

URL: https://data.uni-hannover.de/dataset/3afb333d-230f-4829-91bb-d4dd41bfdcfa/resource/7c672f2b-f45e-40aa-b6bb-01fb2e9bf5e7/download/vise_co_cel.tar.gz

Ontology-driven approach with redundancy removal (denoted as CO^{cel}_{6\omega}-RR) based on the ResNet-50 architecture trained on VisE-D.

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Cite this as

Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth (2020). Dataset: VisE-D: Visual Event Classification Dataset. Resource: VisE_CO_cel.tar.gz. https://doi.org/10.25835/0072909

DOI retrieved: 17:02 12 Apr 2021 (GMT)

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Data last updated November 13, 2020
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License Creative Commons Attribution-NonCommercial 3.0
Created5 months ago
Media typeapplication/x-tar
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formatTAR
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last modified4 months ago
on same domainTrue
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