Abstract: Weakly supervised point cloud semantic segmentation methods that require 1% or fewer labels with the aim of realizing almost the same performance as fully supervised approaches have recently ...
Abstract: Point-interactive image colorization is intended to colorize a grayscale image by allowing the user to specify colors at specific locations. The colors provided by the user (user hints) are ...
Abstract: Image and point cloud registration (2D-3D registration) is an essential prerequisite for multi-modal feature fusion. However, due to the significant feature difference of point cloud and ...
Abstract: AI-powered image analysis is a transformative technology with immense potential to enhance diagnostics and patient care. Accurate medical image assessment plays a crucial role in disease ...
Abstract: Inspired by the human retina, the development of neuromorphic vision systems featuring image perception, memory, and processing functions aims to address the limitations of traditional ...
Abstract: Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D ...
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