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n | "author": "Michael Goebel", | n | "author": "Shuyue Guan", |
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| "doi_date_published": "2024-12-02", | | "doi_date_published": "2024-12-02", |
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| "doi_status": true, | | "doi_status": true, |
| "domain": "https://service.tib.eu/ldmservice", | | "domain": "https://service.tib.eu/ldmservice", |
| "extra_authors": [ | | "extra_authors": [ |
| { | | { |
n | "extra_author": "Tajuddin Manhar Mohammed", | n | "extra_author": "Murray Loew", |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Lakshmanan Nataraj", | | |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Tejaswi Nanjundaswamy", | | |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Shivkumar Chandrasekaran", | | |
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| }, | | |
| { | | |
| "extra_author": "B.S. Manjunath", | | |
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n | "name": "media-forensics", | n | "name": "image-generation", |
| "title": "Media Forensics" | | "title": "Image Generation" |
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n | "landing_page": "https://github.com/mgoebel/GAN-Detection", | n | "landing_page": "https://arxiv.org/abs/2106.03465", |
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| "metadata_created": "2024-12-02T23:50:31.813139", | | "metadata_created": "2024-12-02T23:50:31.813139", |
n | "metadata_modified": "2024-12-02T23:50:32.375188", | n | "metadata_modified": "2024-12-03T10:35:08.555597", |
| "name": "gan-datasets", | | "name": "gan-datasets", |
n | "notes": "The dataset used in the paper for training and testing the | n | "notes": "The dataset used in this paper is a collection of images |
| proposed method for detecting, attributing and localizing GAN | | generated by different Generative Adversarial Networks (GANs). The |
| generated images.", | | dataset is used to evaluate the performance of GANs in terms of |
| | | creativity, diversity, and inheritance.", |
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t | "title": "GAN Datasets", | t | "title": "GAN datasets", |
| "type": "dataset", | | "type": "dataset", |
| "version": "" | | "version": "" |
| } | | } |