Oct 13, 2015 · A new algorithm is developed in this paper to support more effective cross-modal image-tag relevance learning for large-scale social images, ...
ABSTRACT. A new algorithm is developed in this paper to support more effective cross-modal image-tag relevance learning for large-scale social images, which ...
Cross-Modal Image-Tag Relevance Learning for Social Images
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A new algorithm is developed in this paper to support more effective cross-modal image-tag relevance learning for large-scale social images, ...
Bibliographic details on Cross-Modal Image-Tag Relevance Learning for Social Images.
A new algorithm is developed in this paper to support more effective cross-modal image-tag relevance learning for large-scale social images, ...
In this paper, a cross-modal approach is developed for social image clustering and tag cleansing. First, a semantic image clustering algorithm is developed ...
This paper forms social image parsing as a cross-modal data refinement problem over a large set of regions, where the initial labels of each region are ...
Mar 17, 2020 · The proposed architecture directly learns how to combine image and text features for the ranking task, while taking into account the context ...
Aug 24, 2023 · Fine-grained cross-modal alignment and fusion between image regions and text tokens are important to achieve strong cross-modal understanding ...
We learn a visual representation that captures informa- tion about the camera that recorded a given photo. To do this, we train a multimodal embedding between ...