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Open-vocabulary semantic segmentation is a challenging task that requires segmenting novel object categories at inference time.
The role of theories in conceptual coherence
Gregory L. Murphy and Douglas L. Medin · 1985
Earlier work this paper cites.
Relations versus properties in conceptual combination
Edward J. Wisniewski and Bradley C. Love · 1998
Earlier work this paper cites.
Learning to detect unseen object classes by between-class attribute transfer
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2009
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Zero-shot semantic segmentation
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Earlier work this paper cites.
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Earlier work this paper cites.
Language models are few-shot learners
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Earlier work this paper cites.
Context-aware feature generation for zero-shot semantic segmentation
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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What does a platypus look like? generating customized prompts for zero-shot image classification
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