RGB-D object recognition systems improve their predictive performances by fusing color and depth information, outperforming neural network architectures that rely solely on colors …
Computer vision in robotics makes heavy usage of RGB-D data. However, collecting large manually annotated datasets is extremely time-consuming and therefore costly. A potential …
The proposed Robust Speaker Adaptation Framework provides a personalized training model for the target user utilizing 3 core solutions by selecting the actual case data useful for …