Table 2 Comparison on MSE, MAE and \(R^2\) for various models.
From: A deep learning-based method combines manual and non-manual features for sign language recognition
Model | MSE | MAE | \(R^2\) |
|---|---|---|---|
MNM-VGG16 | 0.36 | 3.17 | 0.86 |
MNM-SLR | 0.42 | 3.85 | 0.78 |
Simple RNN | 3.20 | 14.97 | 0.54 |
LSTM | 1.15 | 4.36 | 0.69 |
BiLSTM | 0.97 | 4.16 | 0.75 |
Our Method | 0.31 | 1.62 | 0.91 |