… sensing image scene classification, remote sensing image scene retrieval, and scene-driven
geospatial object detection, this paper aims at summarizing the deep learning driven …

… deep learning technique, research on scene understanding … of deep learning-based
approaches for scene understanding … object detection, full scene semantic segmentation, instance …

… different components of scene understanding. This chapter analyses these contributions of
deep learning and also presents the advancements of high level scene understanding tasks, …

Deep learning techniques have been widely used in autonomous driving community for the
purpose of environment perception. Recently, it starts being adopted for learning end-to-end …

… The resurrection of deep learning [34] has had a … 3D scene understanding, we also provide
depth information through stereo vision. Very recently, [75] announced a new semantic scene …

… of deep learning, we propose a 3D deep convolutional neural … scene context efficiently for
3D scene understanding. Designing a deep learning architecture to encode context for scene …

… In order to deeply discover the merits of deep learning in vehicle-related scene understanding,
we detail a computable method in this section based on deep learning for semantic …

… This research proposes the use of a data-driven deep learning framework to automatically
detect and classify building elements from a laser-scanned point cloud scene. The point cloud …

… A deep learning-based scene classifier, AlexNet [1], was trained to classify the remaining
53 million images: We first randomly selected 1,000 images per scene category as training set …

… understanding of the state-of-the-art, open problems, and future directions related to
multimodal scene understanding … in the field of multimodal scene understanding. Without their …