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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3229631
Abstract: Image-text matching is a challenging task due to the modality gap. Many recent methods focus on modeling entity relationships to learn a common embedding space of image and text. However, these methods suffer from distractions…
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Keywords:
image text;
text matching;
graph;
latent graph ... See more keywords
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Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2917696
Abstract: We aim to automatically learn a latent graph structure in a low-dimensional space from high-dimensional, unsupervised data based on a unified density estimation framework for both feature extraction and feature selection, where the latent structure…
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Keywords:
graph structures;
density estimation;
latent graph;
structure ... See more keywords