The learning process includes a pre-training stage, which generates an initial pose estimation model with pre-trained weights and biases. The meta-transfer learning stage fine-tunes the pre-trained model on mul
Based on the above motivation mentioned in Section 4.3.1, we propose X-WRAP (eXplain, Weight and Rank Activity Prediction), a meta-transfer learning approach for cross-individual human activity recognition tasks, which is also specifically designed for interpretability and control. As shown in Figur...
In this context, there are many challenges such as learning saturation, vanishing/exploding gradient problem, and formation of dead neurons. We proposed a new activation function called HardSReLUE. In this study, retinal blood vessels were detected and removed from the image using the Gabor ...