most citedDescriptors and regions of interest fusion for gender classification in the wild. Comparison and combination with Convolutional Neural Networks

29 citations · 29 across the 1 of their papers we have counts for

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cs.CV2015★ 29 cited

Descriptors and regions of interest fusion for gender classification in the wild. Comparison and combination with Convolutional Neural Networks

M. Castrillón-Santana, J. Lorenzo-Navarro, E. Ramón-Balmaseda

Gender classification (GC) has achieved high accuracy in different experimental evaluations based mostly on inner facial details. However, these results do not generalize well in u…