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cs.CV2024
HyperCLIP: Adapting Vision-Language models with Hypernetworks
Victor Akinwande, Mohammad Sadegh Norouzzadeh, Devin Willmott +3
Self-supervised vision-language models trained with contrastive objectives form the basis of current state-of-the-art methods in AI vision tasks. The success of these models is a d…
cs.CV2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng, Anna Bair, J. Zico Kolter
Modern image classification is based upon directly predicting classes via large discriminative networks, which do not directly contain information about the intuitive visual featur…