Feb. 13, 2024, 5:48 a.m. | Indel Pal Singh Enjie Ghorbel Oyebade Oyedotun Djamila Aouada

cs.CV updates on arXiv.org arxiv.org

This paper proposes an adaptive graph-based approach for multi-label image classification. Graph-based methods have been largely exploited in the field of multi-label classification, given their ability to model label correlations. Specifically, their effectiveness has been proven not only when considering a single domain but also when taking into account multiple domains. However, the topology of the used graph is not optimal as it is pre-defined heuristically. In addition, consecutive Graph Convolutional Network (GCN) aggregations tend to destroy the feature similarity. …

classification correlations cs.cv domain domains graph graph-based image multiple networks paper

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