PluRule is a new multimodal multilingual benchmark showing that state-of-the-art vision-language models perform only marginally better than a trivial baseline at detecting specific rule violations in pluralistic online communities.
and Davis, Larry S
3 Pith papers cite this work. Polarity classification is still indexing.
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A hybrid RGB plus compression-feature transfer learning pipeline with Youden-optimized thresholds improves forgery detection on the CASIA v2.0 dataset using off-the-shelf CNN backbones.
citing papers explorer
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PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media
PluRule is a new multimodal multilingual benchmark showing that state-of-the-art vision-language models perform only marginally better than a trivial baseline at detecting specific rule violations in pluralistic online communities.
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Digital Image Forgery Detection Using Transfer Learning
A hybrid RGB plus compression-feature transfer learning pipeline with Youden-optimized thresholds improves forgery detection on the CASIA v2.0 dataset using off-the-shelf CNN backbones.
- Venus-DeFakerOne: Unified Fake Image Detection & Localization