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international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and looking beyond the borders
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understanding and representation learning; Self-supervised and data-efficient learning; Transfer learning and knowledge reuse across tasks; Structured and compositional learning; Vision-language and multimodal
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to: Adaptation and specialisation of visual foundation models; Fine-grained visual understanding and representation learning; Self-supervised and data-efficient learning; Transfer learning and knowledge reuse
Searches related to knowledge engineering
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