Before revision:  SCADANN is ranked against three state-of-the-art domain adversarial algorithms and two state-of-the-art self-calibrating algorithms developed specifically for EMG-based deep network adaptation on both offline and dynamic datasets .
After revision:  SCADANN is ranked against three state-of-the-art domain adversarial algorithms and two state-of-the-art self-calibrating algorithms developed specifically for deep learning within the context of EMG-based gesture recognition and three state-of-the-art domain adversarial algorithms. The comparison is made both on an offline and a dynamic dataset (20 participants per dataset), using two different deep network architectures with two different input modalities (temporal-spatial descriptors and spectrograms) .