{"ID":2892242,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.15576","arxiv_id":"2507.15576","title":"Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging","abstract":"Terahertz (THz) imaging enables non-invasive analysis for applications such as security screening and material classification, but effective image classification remains challenging due to limited annotations, low resolution, and visual ambiguity. We introduce In-Context Learning (ICL) with Vision-Language Models (VLMs) as a flexible, interpretable alternative that requires no fine-tuning. Using a modality-aligned prompting framework, we adapt two open-weight VLMs to the THz domain and evaluate them under zero-shot and one-shot settings. Our results show that ICL improves classification and interpretability in low-data regimes. This is the first application of ICL-enhanced VLMs to THz imaging, offering a promising direction for resource-constrained scientific domains. Code: \\href{https://github.com/Nicolas-Poggi/Project_THz_Classification/tree/main}{GitHub repository}.","short_abstract":"Terahertz (THz) imaging enables non-invasive analysis for applications such as security screening and material classification, but effective image classification remains challenging due to limited annotations, low resolution, and visual ambiguity. We introduce In-Context Learning (ICL) with Vision-Language Models (VLMs...","url_abs":"https://arxiv.org/abs/2507.15576","url_pdf":"https://arxiv.org/pdf/2507.15576v1","authors":"[\"Nicolas Poggi\",\"Shashank Agnihotri\",\"Margret Keuper\"]","published":"2025-07-21T12:57:49Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.CV\"]","methods":"[\"Language Model\"]","has_code":false,"code_links":[{"ID":611974,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2892242,"paper_url":"https://arxiv.org/abs/2507.15576","paper_title":"Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging","repo_url":"https://github.com/Nicolas-Poggi/Project_THz_Classification","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}