All-in-one convolutional neural network for face analysis

An apparatus, comprising:

• at least one processor;
• and
• at least one memory including computer program code,
• wherein the at least one memory and the computer program code are configured to, with the least one processor, cause the apparatus at least to
• obtain an image of a face;
• process the image of the face using a first set of convolutional network layers configured to perform subject-independent tasks;
• subsequently process the image of the face using a second set of convolutional network layers configured to perform subject-dependent tasks, wherein the second set of convolutional network layers is integrated with the first set of convolutional network layers to form a single convolutional neural network;
• and
• output facial image detection results based on the processing and subsequent processing.

A non-transitory computer-readable medium encoded with instructions that, when executed in hardware, perform a process, the process comprising:

• obtaining an image of a face;
• processing the image of the face using a first set of convolutional network layers configured to perform subject-independent tasks;
• subsequently processing the image of the face using a second set of convolutional network layers configured to perform subject-dependent tasks, wherein the second set of convolutional network layers is integrated with the first set of convolutional network layers to form a single convolutional neural network;
• and
• outputting facial image detection results based on the processing and subsequent processing.