… investigate the role of deep reinforcement learning (DRL) to … learning and explore the
possibilities of scene perception in … a deep learning perspective with a focus on scene perception …

… FDPResnet first extracts the shallow and the deep scene … of features into a designed deep
perception module (DPModel) … -art deep learning methods, and present high-accurate scene …

… The perception of outdoor learning scenes needs to identify the related knowledge and …
model based on deep learning to realize the accurate perception of the outdoor learning scenes, …

… However, no literature currently utilizes HPMs to analyze the impacts of scene perceptions
… use a deep learning framework to parse the indicators of scene perceptions and introduce …

… scene perception under ecologically realistic conditions, and understand how the scene …
and behavioral data, we anticipate that scene perception will continue to be a central topic …

… In the following, we review recent advances in deep learning and semantic segmentation. …
tackled by deep learning, usually CNN. Some recent works [10], [11] proposed a deep matrix …

… scene graph structure, pseudo-marginal integration over uncertain object shape, and existing
deep learning … is more accurate and robust than deep learning baselines at 6DoF pose …

… of the semantic road scene perception algorithm … perception of road scenes, and have
certain robustness of time and weather and demonstrated great potential to be used in road scene …

… We carry out the task of scene perception using deep learning technology. In fact, there are
plenty of challenges to be faced with this problem. On the one hand, lighting conditions, and …

… become a new type of scene perception [4] and communication [5… and perception for
positioning and scene recognition … with the elements that describe the scene (such as the indoor …