Skip to main content

Table 1 The classification performance comparisons among our proposed framework, RNN-based, siamese network, and the RS-LDA

From: EEG-based image classification via a region-level stacked bi-directional deep learning framework

Models

Accuracy

Proposed region-level stacked bi-directional LSTMs

97.3%

Siamese network [56]

93.7%

RNN-based model [18]

82.9%

RS-LDA [57]

13.0%