A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge
Citations
5 citations
Cites background from "A-LINK: Recognizing Disguised Faces..."
...In the worst case, these changes are made intentionally to hide ones identity or imitate the appearance of another person [15, 38, 47]....
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2 citations
Cites background or methods from "A-LINK: Recognizing Disguised Faces..."
...Compared to A-LINK [28], an average absolute increase of 2....
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...Models trained with A2-LINK even outperform A-LINK [28] by a significant margin, thus reinforcing...
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...(A-LINK [28]) give a reasonably good increase in performance, both when dealing with disguise and multiresolution as covariates....
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...2A shorter version of the manuscript was presented at IEEE International Conference on BTAS, 2019 [28]....
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...This paper builds on top of A-LINK2 [28] and introduces an adversarial noise component while constructing hybrid noise inputs for the algorithm....
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References
27 citations
"A-LINK: Recognizing Disguised Faces..." refers background in this paper
...[22], we report Rank-1 identification accuracies for several target resolutions: 16× 16, 24× 24, 32× 32, 48× 48....
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...[22] -Net) Sampling Sampling Sampling A-LINK 16× 16 91....
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...[22]: out of all images, we select images with frontal pose, uniform illumination, and neutral expression....
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16 citations
"A-LINK: Recognizing Disguised Faces..." refers methods in this paper
...propose a method that combines task-dependent and task-independent features [25]....
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12 citations
12 citations
"A-LINK: Recognizing Disguised Faces..." refers methods in this paper
...utilize a similar approach: they consider low resolution and high resolution as two distinct domains and propose a projection technique that utilizes domain adaptation [30]....
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