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Discrete-token adaptation of frozen MLLMs enables effective robot navigation with significantly less training data than conventional approaches.
Depth-aware distillation boosts visual place recognition in forests, revealing that geometric cues can dramatically enhance model robustness against appearance variations.
Current vision models falter in natural environments, with the WildCross benchmark revealing critical gaps in depth estimation capabilities.
Unlock zero-shot 3D scene understanding: Ilov3Splat lets you identify and segment arbitrary objects in 3D scenes using only natural language, no category supervision needed.
