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Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features. (arXiv:2205.05419v1 [cs.CV])
Web: http://arxiv.org/abs/2205.05419
May 12, 2022, 1:10 a.m. | Marisa Bernabeu, Antonio Javier Gallego, Antonio Pertusa
cs.CV updates on arXiv.org arxiv.org
Logo classification is a particular case of image classification, since these
may contain only text, images, or a combination of both. In this work, we
propose a system for the multi-label classification and similarity search of
logo images. The method allows obtaining the most similar logos on the basis of
their shape, color, business sector, semantics, general characteristics, or a
combination of such features established by the user. This is done by employing
a set of multi-label networks specialized in …
More from arxiv.org / cs.CV updates on arXiv.org
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