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36 lines (36 loc) · 1.25 KB
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cff-version: 1.2.0
message: "If you use this software, dataset, or trained models, please cite the paper below."
title: "SenBen: Sensitive Scene Graphs for Explainable Content Moderation"
type: software
authors:
- family-names: Akyon
given-names: Fatih Cagatay
affiliation: "Graduate School of Informatics, METU"
orcid: "https://orcid.org/0000-0002-7339-4982"
- family-names: Temizel
given-names: Alptekin
affiliation: "Graduate School of Informatics, METU"
repository-code: "https://github.com/fcakyon/senben"
url: "https://senben.kim"
license: MIT
date-released: 2026-04-27
keywords:
- scene graph generation
- explainable AI
- vision language models
- small models
- content moderation
- Florence-2
preferred-citation:
type: conference-paper
title: "SenBen: Sensitive Scene Graphs for Explainable Content Moderation"
authors:
- family-names: Akyon
given-names: Fatih Cagatay
affiliation: "Graduate School of Informatics, METU"
- family-names: Temizel
given-names: Alptekin
affiliation: "Graduate School of Informatics, METU"
year: 2026
collection-title: "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)"
url: "https://arxiv.org/abs/2604.08819"