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**MMF-M3AD** — это унифицированный метод обнаружения 3D-аномалий, специально разработанный для работы сразу с несколькими категориями объектов (multi-category 3D anomaly detection). В основе архитектуры лежит подход на основе реконструкции, усиленный механизмом многомасштабного слияния признаков (Multi-scale Feature Fusion), что позволяет модели эффективно выявлять и локализовывать геометрические дефекты различного размера и сложности. Модель предлагает единую гибкую среду для анализа 3D-данных, избавляя от необходимости обучать отдельные сети для каждого класса объектов, и в настоящее время готовится к публикации в журнале издательства Elsevier.
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Snapshot received: 9 Aug 2026, 20:00 UTC.