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Found 3 papers, 1 papers with code
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
KnoBo uses retrieval-augmented language models to design an appropriate concept space paired with an automatic training procedure for recognizing the concept.
CREPE: Can Vision-Language Foundation Models Reason Compositionally?
To measure systematicity, CREPE consists of a test dataset containing over $370K$ image-text pairs and three different seen-unseen splits.
Measuring Compositional Consistency for Video Question Answering
Recent video question answering benchmarks indicate that state-of-the-art models struggle to answer compositional questions.
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