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Preprint Sep 2026

Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes

Metric reasoning is a critical and challenging task for Vision Language Models (VLMs), playing a pivotal role in embodied AI tasks such as robotic manipulation and autonomous navigation. However, current spatial reasoning remains bottlenecked by rigid pixel-level supervision; such localized optimization often compromis...

Yu-Ling Xi, Hao-Kai Zhang, Mu-Zhi Zhu et al. · 0 citations

EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection

This work proposes a unified UCOD framework that enhances both the reliability of pseudo-labels and the fidelity of features, and introduces the Multi-Cue Native Perception module, which extracts intrinsic visual priors by integrating low-level texture cues with mid-level semantics.

Shuo Jiang, Gaojian Zhang, Mingxue Tan et al. · 0 citations

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