Abstract: Self-training is a novel learning paradigm that generates pseudolabels for unlabeled data, enabling deep learning models to be trained without the need for humanlabeled data. This article ...

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...

Abstract: In the field of class incremental leaming (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous ...