RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing

arXiv — cs.CVWednesday, November 5, 2025 at 5:00:00 AM
Recent advancements in self-supervised learning for Vision Transformers have led to significant breakthroughs in remote sensing foundation models. The Mamba architecture, with its linear complexity, presents a promising solution to the scalability issues posed by traditional self-attention methods, especially for large models and high-resolution images.
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