AI RESEARCH
Vision-Language Models for Infrared Industrial Sensing in Additive Manufacturing Scene Description
arXiv CS.CV
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ArXi:2512.11098v2 Announce Type: replace Many manufacturing environments operate in low-light conditions or within enclosed machines where conventional vision systems struggle. Infrared cameras provide complementary advantages in such environments. Simultaneously, supervised AI systems require large labeled datasets, which makes zero-shot learning frameworks practical for applications including infrared cameras. Recent advances in vision-language foundation models (VLMs) offer a new path in zero-shot predictions from paired image-text representations.