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Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
April 12, 2024, 4:46 a.m. | Jakob Hackstein, Gencer Sumbul, Kai Norman Clasen, Beg\"um Demir
cs.CV updates on arXiv.org arxiv.org
Abstract: Self-supervised learning through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) image representation learning, and thus embodies a significant potential for content-based image retrieval (CBIR) from ever-growing RS image archives. However, the existing studies on MAEs in RS assume that the considered RS images are acquired by a single image sensor, and thus are only suitable for uni-modal CBIR problems. The effectiveness of MAEs for cross-sensor CBIR, which aims to search …
arxiv autoencoders cs.cv eess.iv image retrieval sensing sensor type
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