Learning Two-View Correspondences and Geometry Using Neighbor-Aware Network
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DOI: 10.1109/lgrs.2022.3159571
Abstract: Finding reliable correspondences between two images is a fundamental problem in remote-sensing image registration. In the face of sparse and unordered correspondences, the previous learning-based works often focus on global information and ignore valuable local… read more here.
Keywords: network; view correspondences; learning two; geometry ... See more keywords