RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection Article Swipe

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Tsung-Yi Lin , Michael Maire , Serge Belongie , Lubomir Bourdev , Ross Girshick , James Hays , Pietro Perona , Deva Ramanan , C. Lawrence Zitnick , Piotr Dollár ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.5281/zenodo.11384491

This repository contains all the collected and aligned data for RU-AI dataset. It is constructed based on three large publicly available datasets: Flickr8K, COCO, and Places205, by adding their corresponding machine-generated pairs from five different generative models in each modality.

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Computer science Pascal (unit) Spotting Segmentation Artificial intelligence Bounding overwatch Minimum bounding box Object (grammar) Object detection Context (archaeology) Baseline (sea) Computer vision Pattern recognition (psychology) Image (mathematics) Geography Oceanography Archaeology Programming language Geology

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Type: preprint
Language: en
Landing Page: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.1
OA Status: green
Cited By: 2072
References: 40
Related Works: 10
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DOI: https://doi.org/10.5281/zenodo.11384491

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Title: RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-06-01

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Authors: Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

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Landing page: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.1

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Concepts: Computer science, Pascal (unit), Spotting, Segmentation, Artificial intelligence, Bounding overwatch, Minimum bounding box, Object (grammar), Object detection, Context (archaeology), Baseline (sea), Computer vision, Pattern recognition (psychology), Image (mathematics), Geography, Oceanography, Archaeology, Programming language, Geology

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Cited by: 2072

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Citations by year (recent): 2025: 249, 2024: 456, 2023: 522, 2022: 235, 2021: 180

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