Dealing with Overfitting in the Context of Liveness Detection Dealing with Overfitting in the Context of Liveness Detection Using FeatherNets with RGB Images (poster)

With this work it was possible to: – Conclude on the importance of a well-rounded dataset; – Mitigating overfitting, reducing the difference from the best epoch to the average of the last epochs from 36.57% to 3.63%. In the future: – Apply these conclusions in the making of a new model, keeping it as simple as possible; – Developing a dataset with as much variety as possible, be it in types of spoof, individuals and capture condition.