You're currently viewing an old version of this dataset. To see the current version, click here.
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.
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 | unknown |
Last updated | October 14, 2021 |
Format | application/x-tar |