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Found 2 papers, 1 papers with code
GIST: Generating Image-Specific Text for Fine-grained Object Classification
We demonstrate the utility of GIST by fine-tuning vision-language models on the image-and-generated-text pairs to learn an aligned vision-language representation space for improved classification.
Fine-Grained Image Classification
Image-text Classification
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Multi-Similarity Contrastive Learning
Given a similarity metric, contrastive methods learn a representation in which examples that are similar are pushed together and examples that are dissimilar are pulled apart.
