1. A method, comprising: training parameters of a convolutional neural network (CNN) to label everyday objects; and refining the parameters of the CNN, trained to label the everyday objects, to perform multi-aspect facial detection with respect to one or more images, the CNN being modified to exclude fully-connected layers.