Abstract: In this work, we propose a new Dual Min-Max Games (DMMG) based self-supervised skeleton action recognition method by augmenting unlabeled data in a contrastive learning framework. Our DMMG ...

Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user ...

Abstract: We propose a novel discriminative feature learning method via Max-Min Ratio Analysis (MMRA) for exclusively dealing with the long-standing “worst-case class separation” problem. Existing ...