… 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 …

… Overall, the contributions of this work can be listed as follows: Discussion on the various
deep learning-based object detection techniques for vehicles and other road assets is …

… 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 …

… 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 …

… 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, …

… 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 …

… 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 …

… Abstract—Training data is the key ingredient for deep learning … training data for cluttered
scene perception tasks such as … Our pipeline can be run online during training of a deep …

… 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 …