AI RESEARCH
Lighting-aware Unified Model for Instance Segmentation
arXiv CS.CV
•
ArXi:2605.20436v1 Announce Type: new Foundation models like the Segment Anything Model (SAM) nstrate impressive zero-shot generalization but frequently degrade under diverse real-world illumination, particularly for instance segmentation. In this work, we address this limitation by developing \textit{Lighting Convolutional-Attention (\lca{})}, an adapter module that enhances segmentation robustness without fine-tuning the heavy backbone.