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CutMix boosts the reliability of semantic segmentation models under distribution shifts, even if it doesn't significantly improve accuracy.
Enhancing uncertainty quality in VGGT can significantly boost the accuracy of 3D reconstructions, making real-time photogrammetry more reliable.
Current state-of-the-art 3D reconstruction methods falter in industrial settings, revealing the critical need for preprocessing to align with training distributions.
A tiny VICL model challenges the assumption that bigger is always better, revealing critical gaps in how we evaluate adaptive capabilities in vision tasks.