Details
Datum der Bereitstellung | 2020 |
---|---|
Herausgeber (Verlag) | Forschungsdaten-Repositorium der LUH |
Beschreibung
Content
- VisE-D.tar.gz:
- List of image URLs with corresponding meta information for the:
- "VisE-D" train dataset - "VisE-D" validation dataset
- "VisE-Bing" test dataset - "VisE-Bing" test dataset
- Different versions of the "Visual Event Ontology (VisE-O)":
- Initial Ontology
- Disambiguated Ontology
- Disambigauted Ontology for "Event Nodes" related to a minimum of ten "Events"
- Refined Ontology
- VisE-C.tar.gz: Classification baseline (denoted as C) based on the ResNet-50 architecture trained on "VisE-D".
- 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".
- VisE-CO_cos.tar.gz: Ontology-driven approach (denoted as CO^{cos}_{\delta}) based on the ResNet-50 architecture trained on "VisE-D".
- RED.tar.gz: Ontologies and splits for the "RED" benchmark datasets (Ahsan et al. 2017)
- SocEID.tar.gz: Ontologies and splits for the "SocEID" benchmark datasets (Ahsan et al. 2017)
- WIDER.tar.gz: Ontologies and splits for the "WIDER" benchmark datasets (Xiong et al. 2015)
Source Code
The source code to reproduce our results can be found on our GitHub page: https://github.com/TIBHannover/VisE
- VisE-D.tar.gz:
- List of image URLs with corresponding meta information for the:
- "VisE-D" train dataset - "VisE-D" validation dataset
- "VisE-Bing" test dataset - "VisE-Bing" test dataset
- Different versions of the "Visual Event Ontology (VisE-O)":
- Initial Ontology
- Disambiguated Ontology
- Disambigauted Ontology for "Event Nodes" related to a minimum of ten "Events"
- Refined Ontology
- VisE-C.tar.gz: Classification baseline (denoted as C) based on the ResNet-50 architecture trained on "VisE-D".
- 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".
- VisE-CO_cos.tar.gz: Ontology-driven approach (denoted as CO^{cos}_{\delta}) based on the ResNet-50 architecture trained on "VisE-D".
- RED.tar.gz: Ontologies and splits for the "RED" benchmark datasets (Ahsan et al. 2017)
- SocEID.tar.gz: Ontologies and splits for the "SocEID" benchmark datasets (Ahsan et al. 2017)
- WIDER.tar.gz: Ontologies and splits for the "WIDER" benchmark datasets (Xiong et al. 2015)
Source Code
The source code to reproduce our results can be found on our GitHub page: https://github.com/TIBHannover/VisE