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BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
[article]
2019
arXiv
pre-print
Age estimation is an important yet very challenging problem in computer vision. Existing methods for age estimation usually apply a divide-and-conquer strategy to deal with heterogeneous data caused by the non-stationary aging process. However, the facial aging process is also a continuous process, and the continuity relationship between different components has not been effectively exploited. In this paper, we propose BridgeNet for age estimation, which aims to mine the continuous relation
arXiv:1904.03358v1
fatcat:lyu4he6uyjcjrpmhs2jcthzaee