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University of Electronic Science and Technology of China
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Language's role in embodied agents is often overstated, with many claims lacking robust empirical support, revealing a critical gap in our understanding of its contributions.
Instead of relying on hand-crafted heuristics, Con-DSO *learns* to identify and downweight unreliable visual data in RGB-D odometry, leading to substantial accuracy gains in challenging environments.
