Abstract: Current state-of-the-art visual-inertial odometry algorithms work on the assumption that the observed features are absolutely static, which leads to their weakness in dynamic environments.
Abstract: The task of Visual Commonsense Generation (VCG) delves into the deeper narrative behind a static image, aiming to comprehend not just its immediate content but also the surrounding context.
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