How to we add a new face into trained face recognition model(inception/resnet/vgg) without retraining complete model?
basically, by the mathematics theory behind the machine learning models, you basically need to do another train iteration with only this new data...
but, in practice, those models, especially the sophisticated ones, rely on multiple iterations for training and a various technics of suffering and nose reductions
a good approach can be train of the model from previous state with a subset of the data that include the new data, for a couple of iterations
Is it possible to add a new face features into trained face recognition model, without retraining it with previous faces?
Currently am using facenet architecture,