thank you for your work. have your ever compare with other way for classfing the faceID, such as feature distance not to train a MLP classifer.
As we know, MLP classifer is diffcult to expand when there are some new faceIDs and need more face datas. why you choose this way, is this get a better accuracy? how to make choose?
thank you for your work. have your ever compare with other way for classfing the faceID, such as feature distance not to train a MLP classifer. As we know, MLP classifer is diffcult to expand when there are some new faceIDs and need more face datas. why you choose this way, is this get a better accuracy? how to make choose?