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
52 citations
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"A-LINK: Recognizing Disguised Faces..." refers background in this paper
...According to the competition, MiRA-Face [11], AEFRL [24] and UMDNets [1] are the current state-of-the-art for this dataset....
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...According to the competition, MiRA-Face [11], AEFRL [24] and UMDNets [1] are the current state-of-the-art for this dataset....
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33 citations
"A-LINK: Recognizing Disguised Faces..." refers background in this paper
...describe a novel query strategy for active learning on surveillance images [9]....
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31 citations
"A-LINK: Recognizing Disguised Faces..." refers background in this paper
...According to the competition, MiRA-Face [11], AEFRL [24] and UMDNets [1] are the current state-of-the-art for this dataset....
[...]
...According to the competition, MiRA-Face [11], AEFRL [24] and UMDNets [1] are the current state-of-the-art for this dataset....
[...]