FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912336782> ?p ?o ?g. }

• W2912336782 abstract "The rapid progress in synthetic image generation and manipulation has now come to a point where it raises significant concerns for the implications towards society. At best, this leads to a loss of trust in digital content, but could potentially cause further harm by spreading false information or fake news. This paper examines the realism of state-of-the-art image manipulations, and how difficult it is to detect them, either automatically or by humans. To standardize the evaluation of detection methods, we propose an automated benchmark for facial manipulation detection. In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size. The benchmark is publicly available and contains a hidden test set as well as a database of over 1.8 million manipulated images. This dataset is over an order of magnitude larger than comparable, publicly available, forgery datasets. Based on this data, we performed a thorough analysis of data-driven forgery detectors. We show that the use of additional domainspecific knowledge improves forgery detection to unprecedented accuracy, even in the presence of strong compression, and clearly outperforms human observers." @default.
• W2912336782 created "2019-02-21" @default.
• W2912336782 creator A5019043605 @default.
• W2912336782 creator A5036392768 @default.
• W2912336782 creator A5049250339 @default.
• W2912336782 creator A5080842029 @default.
• W2912336782 creator A5085769320 @default.
• W2912336782 creator A5088583491 @default.
• W2912336782 date "2019-01-25" @default.
• W2912336782 modified "2023-09-27" @default.
• W2912336782 title "FaceForensics++: Learning to Detect Manipulated Facial Images" @default.
• W2912336782 cites W1522301498 @default.
• W2912336782 cites W1964026338 @default.
• W2912336782 cites W1974436615 @default.
• W2912336782 cites W1983586459 @default.
• W2912336782 cites W1995712965 @default.
• W2912336782 cites W2004068758 @default.
• W2912336782 cites W2009130368 @default.
• W2912336782 cites W2054754893 @default.
• W2912336782 cites W2068734928 @default.
• W2912336782 cites W2070604790 @default.
• W2912336782 cites W2080277992 @default.
• W2912336782 cites W2115252128 @default.
• W2912336782 cites W2142977543 @default.
• W2912336782 cites W2146991130 @default.
• W2912336782 cites W2147885303 @default.
• W2912336782 cites W2162963619 @default.
• W2912336782 cites W2170179129 @default.
• W2912336782 cites W2274287116 @default.
• W2912336782 cites W2281375574 @default.
• W2912336782 cites W2293989420 @default.
• W2912336782 cites W2301937176 @default.
• W2912336782 cites W2412509443 @default.
• W2912336782 cites W2476548250 @default.
• W2912336782 cites W2524365899 @default.
• W2912336782 cites W2531409750 @default.
• W2912336782 cites W2542826708 @default.
• W2912336782 cites W2560026874 @default.
• W2912336782 cites W2587706859 @default.
• W2912336782 cites W2593829325 @default.
• W2912336782 cites W2594519801 @default.
• W2912336782 cites W2598783175 @default.
• W2912336782 cites W2603123944 @default.
• W2912336782 cites W2618574778 @default.
• W2912336782 cites W2738406145 @default.
• W2912336782 cites W2738882920 @default.
• W2912336782 cites W2739080336 @default.
• W2912336782 cites W2739273633 @default.
• W2912336782 cites W2770534877 @default.
• W2912336782 cites W2777769595 @default.
• W2912336782 cites W2786289897 @default.
• W2912336782 cites W2794857359 @default.
• W2912336782 cites W2802701183 @default.
• W2912336782 cites W2806379360 @default.
• W2912336782 cites W2806833697 @default.
• W2912336782 cites W2810084975 @default.
• W2912336782 cites W2902304528 @default.
• W2912336782 cites W2902962850 @default.
• W2912336782 cites W2904573504 @default.
• W2912336782 cites W2906447902 @default.
• W2912336782 cites W2911424785 @default.
• W2912336782 cites W2912648825 @default.
• W2912336782 cites W2912940386 @default.
• W2912336782 cites W2914447220 @default.
• W2912336782 cites W2942074357 @default.
• W2912336782 cites W2950493473 @default.
• W2912336782 cites W2962752582 @default.
• W2912336782 cites W2962760235 @default.
• W2912336782 cites W2962958939 @default.
• W2912336782 cites W2963073614 @default.
• W2912336782 cites W2963267868 @default.
• W2912336782 cites W2963870144 @default.
• W2912336782 cites W2964146055 @default.
• W2912336782 cites W2964337551 @default.
• W2912336782 cites W3101998545 @default.
• W2912336782 cites W2756214248 @default.
• W2912336782 hasPublicationYear "2019" @default.
• W2912336782 type Work @default.
• W2912336782 sameAs 2912336782 @default.
• W2912336782 citedByCount "135" @default.
• W2912336782 countsByYear W29123367822018 @default.
• W2912336782 countsByYear W29123367822019 @default.
• W2912336782 countsByYear W29123367822020 @default.
• W2912336782 countsByYear W29123367822021 @default.
• W2912336782 crossrefType "posted-content" @default.
• W2912336782 hasAuthorship W2912336782A5019043605 @default.
• W2912336782 hasAuthorship W2912336782A5036392768 @default.
• W2912336782 hasAuthorship W2912336782A5049250339 @default.
• W2912336782 hasAuthorship W2912336782A5080842029 @default.
• W2912336782 hasAuthorship W2912336782A5085769320 @default.
• W2912336782 hasAuthorship W2912336782A5088583491 @default.
• W2912336782 hasConcept C115961682 @default.
• W2912336782 hasConcept C119857082 @default.
• W2912336782 hasConcept C13280743 @default.
• W2912336782 hasConcept C153180895 @default.
• W2912336782 hasConcept C154945302 @default.
• W2912336782 hasConcept C177264268 @default.
• W2912336782 hasConcept C185798385 @default.
• W2912336782 hasConcept C199360897 @default.
• W2912336782 hasConcept C205649164 @default.

• next