Semantic Image-Text Similarity

1 papers with code • 1 benchmarks • 3 datasets

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Most implemented papers

Learning the Best Pooling Strategy for Visual Semantic Embedding

woodfrog/vse_infty CVPR 2021

Visual Semantic Embedding (VSE) is a dominant approach for vision-language retrieval, which aims at learning a deep embedding space such that visual data are embedded close to their semantic text labels or descriptions.