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Found 4 papers, 2 papers with code
Cross-media Multi-level Alignment with Relation Attention Network
First, we propose visual-language relation attention model to explore both fine-grained patches and their relations of different media types.
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
They can not only exploit cross-modal correlation for learning common representation, but also preserve reconstruction information for capturing semantic consistency within each modality.
Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network
Effectively measuring the similarity between different modalities of data is the key of cross-modal retrieval.
Cross-media Similarity Metric Learning with Unified Deep Networks
Motivated by the strong ability of deep neural network in feature representation and comparison functions learning, we propose the Unified Network for Cross-media Similarity Metric (UNCSM) to associate cross-media shared representation learning with distance metric in a unified framework.
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