How to we add a new face into trained face recognition model(inception/resnet/vgg) without retraining complete model?
Take a look in Siamese Neural Network.
Actually if you use such approach you don't need to retrain the model.
Basically you train a model to generate an embedding (a vector) that maps similar images near and different ones far.
After you have this model trainned, when you add a new face it will be far from the others but near of the samples of the same person.
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,