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Forged watermarks in latent diffusion models are fundamentally limited by an irreducible distortion floor, revealing critical vulnerabilities in black-box settings.
Achieving decimeter-level positioning accuracy with low-cost single-frequency GNSS receivers could revolutionize autonomous navigation by eliminating the need for expensive infrastructure.
By predicting tracking models rather than image features, GOT-JEPA unlocks more robust object tracking, even when objects are heavily occluded or the environment is dynamic.
