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• W3089900650 abstract "In this paper, we propose a new automatic Action Units (AUs) recognition method used in a competition, Affective Behavior Analysis in-the-wild (ABAW). Our method tackles a problem of AUs label inconsistency among subjects by using pairwise deep architecture. While the baseline score is 0.31, our method achieved 0.67 in validation dataset of the competition." @default.
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• W3089900650 date "2020-10-01" @default.
• W3089900650 modified "2023-09-27" @default.
• W3089900650 title "Action Units Recognition by Pairwise Deep Architecture." @default.
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