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COVR
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A Test-Bed for Visually Grounded Compositional Generalization with Real Images
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2026-03-05 07:53:31
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COVR | A Test-Bed for Visually Grounded Compositional Generalization with Real Images COVR A Test-Bed for Visually Grounded Compositional Generalization with Real Images Home Paper GitHub Explore COVR is a test-bed for visually-grounded compositional generalization with real images. You can use COVR to train Visual Question Answering (VQA) models and evaluate it on various compositional generalization tests, and create your own new compositional splits. For more details refer to our paper: COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant EMNLP 2021 Leaderboard Few-shot Has-Quant Has-Quant-All Has-Quant-CompScope Has-Compar Has-Compar-More Has-GroupBy Has-Logic Has-Logic-And Has-Num-3 Has-Num3-Ans-3 Ans-Num Average ViLBERT (Bogin et al., EMNLP’21) 65.6 60.9 67.5 64.2 79.8 55.6 72.1 70.9 67.7 27.5 38.5 60.9 VisualB...
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