4 datasets found

The dataset is not explicitly described in the paper, but it is mentioned that the authors used it to train and test their neural operator architectures.

The proposed SPANet selectively gathers contextual information from the salient positions in the low level and stops the error drift between network layers.

The TEMGNet framework is proposed for hand gesture recognition from sEMG signals.

The dataset used in the paper is a benchmark dataset created by the authors of the Attend-And-Excite paper.