Disguised Faces in the Wild 2019
Citations
353 citations
69 citations
53 citations
Cites background or methods from "Disguised Faces in the Wild 2019"
...…the top performing teams in the competition demonstrated high verification performance at higher False Acceptance Rates (Deng and Zafeririou 2019; Singh et al. 2019a), analysis of the submissions demonstrate low performance (less than 10% True Acceptance Rate) at 0% False Acceptance Rate; a…...
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...In 2018, the Disguised Faces in the Wild (DFW) dataset (Singh et al. 2019b) was released as part of the International Workshop on DFW held in conjunction with CVPR2018....
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...Recently, the DFW2019 competition (Singh et al. 2019a) has also contained a protocol for recognizing images under plastic surgery variations, where deep learning based baseline algorithms show around 50% verification accuracy at 0.01% False Acceptance Rate....
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...Recently, the DFW2019 competition (Singh et al. 2019a) has also contained a protocol for recognizing images under plastic surgery variations, where deep learning based baseline algorithms show around 50% verification accuracy at 0....
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...While the top performing teams in the competition demonstrated high verification performance at higher False Acceptance Rates (Deng and Zafeririou 2019; Singh et al. 2019a), analysis of the submissions demonstrate low performance (less than 10% True Acceptance Rate) at 0% False Acceptance Rate; a metric often used in stricter settings such as access control in highly secure locations....
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16 citations
Cites methods from "Disguised Faces in the Wild 2019"
...Method Impersonation Obfuscation Plastic Surgery Overall FAR 1e− 4 1e− 3 1e− 2 1e− 4 1e− 3 1e− 4 1e− 3 1e− 4 1e− 3 ResNet-50 [23] 38....
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...On the Impersonation track, our solution is worse than the baseline method (LightCNN-29v2 [23]) provided by the organiser....
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12 citations
References
62 citations
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43 citations
"Disguised Faces in the Wild 2019" refers methods in this paper
...In 2016, the Disguise and Makeup dataset [19] was released, which contains disguised face images from publicly accessible websites....
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38 citations
"Disguised Faces in the Wild 2019" refers methods in this paper
...Fine-tuning is performed on the MS-Celeb-1M dataset [6] with Doppleganger Mining [17], Auxillary Embeddings [18], Embeddings Interpolations, and Priority Lists....
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...The model is fine-tuned with Doppleganger Mining [17], Auxillary Embeddings [18], Embeddings Interpolations, and Priority Lists....
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38 citations
"Disguised Faces in the Wild 2019" refers methods in this paper
...Fine-tuning is performed on the MS-Celeb-1M dataset [6] with Doppleganger Mining [17], Auxillary Embeddings [18], Embeddings Interpolations, and Priority Lists....
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...The model is fine-tuned with Doppleganger Mining [17], Auxillary Embeddings [18], Embeddings Interpolations, and Priority Lists....
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