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Aligning Vision and Language: Harnessing Language Semantics for Efficient Vision Models
This thesis explores methods to enhance the efficiency, flexibility, and generalization of vision models by leveraging semantic information from language. Inspired by human multi-modal perception, the research conducted addresses key limitations in current models: high data and compute demands, limi
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