A 4B model that uses its own dense metric predictions as object-grounded evidence for language generation and leads the evaluated methods in instance-level metric depth estimation and overall accuracy on both relative and metric reasoning tracks, while broadly preserving general VQA performance and improving spatial un...
Jiang-Ning Wei, Yuan Yao, Miao-Miao Cui et al.· 0 citations
Experiments demonstrate strong 3D perception and driving scene understanding while largely preserving general vision-language capability and comprehensive evaluations across open-loop, pseudo-closed-loop, and closed-loop settings further show highly competitive motion-planning performance.
Xin Zhou, Zongchuang Zhao, Zhibo Yang et al.· 9 citations· ⚡2
FineVLA, an open framework for action-aligned fine-grained VLA supervision, is introduced and the largest real-world gains appear on pose, color, and approach direction, and approach direction--factors where goal-level instructions provide no guidance.