A single-stream vision-language transformer with top-K text selection and a sparse compositor achieves state-of-the-art open-world compositional zero-shot learning on MIT-States, C-GQA, and VAW-CZSL.
Class-based n-gram models of natural language
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Unified Framework for Open-World Compositional Zero-shot Learning
A single-stream vision-language transformer with top-K text selection and a sparse compositor achieves state-of-the-art open-world compositional zero-shot learning on MIT-States, C-GQA, and VAW-CZSL.