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: November 11, 2020
Additional Information
| Field | Value |
|---|---|
| Created | November 11, 2020 |
| Last updated | August 4, 2023 |
| Format | TAR |