Despite the success of these models on textual data, they have not generalized as well to image data, in part because of the spatial and temporal structure may exist in an image stream.
Some of the most successful approaches have used probabilistic models to uncover latent thematic structure in discrete data. Recent algorithmic attempts to fill this gap have employed unsupervised tools to discover structure in data. Keywords: Deep Learning in Robotics and Automation, Semantic Scene Understanding, Marine RoboticsĪbstract: The gap between our ability to collect interesting data and our ability to analyze these data is growing at an unprecedented rate.
0 kommentar(er)
