Long-tail large scale face recognition by non-linear feature level domain adaption

A computer program product for a surveillance system with facial recognition, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• receiving, by a processor device, a plurality of images from one or more cameras;
• extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images;
• generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors;
• classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector;
• and
• controlling an operation of a processor-based device to react in accordance with the identity.

A computer-implemented method for facial recognition in a surveillance system, the method comprising:

• receiving, by a processor device, a plurality of images from one or more cameras;
• extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images;
• generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors;
• classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector;
• and
• controlling an operation of a processor-based device to react in accordance with the identity.