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Flux-Guard achieves a breakthrough by enabling effective face editing that simultaneously thwarts face recognition systems without compromising image quality.
Self-improving navigation agents can get lost in their own exploration unless you carefully balance behavioral diversity with learning stability, as shown by a new method that outperforms prior VLN models.
Instruction understanding can evolve dynamically with context, leading to a notable +2.68% SPL improvement in navigation tasks.
