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Radiance-Field Guided Pretraining: Scaling Localization Models with Unlabeled Wireless Signals
Radio frequency (RF)-based indoor localization offers significant promise for applications such as indoor navigation, augmented reality, and pervasive computing. While deep learning has greatly enhanced localization accuracy and robustness, existing localization models still face major challenges in
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