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Found 2 papers, 1 papers with code
Flexible visual prompts for in-context learning in computer vision
Additionally, we propose a technique for support set selection, which involves choosing the most relevant images to include in this set.
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
We address it with the proposed Grappa, an approach that starts from a strong pretrained model, and adapts it to tackle multiple retrieval tasks concurrently, using only unlabeled images from the different task domains.
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