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Monocular camera localization within dense LiDAR maps no longer requires complex dual-encoder architectures: converting both inputs to unified depth representations lets a single vision foundation model outperform specialized cross-modal baselines under extreme environmental shifts.
Massively multilingual NER just got easier: UNER v2 offers a standardized benchmark for evaluating LLMs across diverse languages.
