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Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
2019
2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)
Rather than the visual images, the face recognition of the caricatures is far from the performance of the visual images. The challenge is the extreme non-rigid distortions of the caricatures introduced by exaggerating the facial features to strengthen the characters. In this paper, we propose dynamic multi-task learning based on deep CNNs for cross-modal caricature-visual face recognition. Instead of the conventional multi-task learning with fixed weights of the tasks, the proposed dynamic
doi:10.1109/icdarw.2019.00021
dblp:conf/icdar/MingBL19
fatcat:7m4pf7sqube4dcxfvlhsza6lju