CORDIS Project
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The Harmony project seeks to improve visual data association by addressing challenges in mapping complex scenes and shapes. It focuses on enhancing theoretical guarantees and scalability in applications like autonomous driving and medical analysis through innovative algorithms.
Visual data association aims to find task-specific mappings involving visual data.
Two significant examples are the mapping of physics models to complex scenes for planning overtaking manoeuvrers in autonomous driving, or matching collections of 3D shapes for medical analysis.
Despite the high relevance of visual data association, its progress has not kept pace with the revolutionary developments fuelled by recent deep learning advances: existing data association machinery lacks theoretical guar…
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