Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.
Abstract: The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this problem, namely ...
Abstract: Existing learning-based arbitrary-scale point cloud upsampling methods are usually challenged with limited point cloud feature representation and noise-sensitive refinement of coarse point ...
Abstract: This article presents the design and implementation of a three-channel ASIC for signal acquisition in industrial positioning systems that use magnetic encoder scales and tunnel ...
Abstract: With the advent of new-generation depth sensors, the use of three-dimensional (3-D) data is becoming increasingly popular. As these sensors are commodity hardware and sold at low cost, a ...
Abstract: Point cloud data is integral to various application scenarios due to its provision of extensive semantic information. Although density stands as a vital attribute of point clouds, many ...
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