Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning

arXiv:2404.17340v1 Announce Type: new
Abstract: Multi-view learning has become a popular research topic in recent years, but research on the cross-application of classic multi-label classification and multi-view learning is still in its early stages. In this paper, we focus on the complex yet highly realistic task of incomplete multi-view weak multi-label learning and propose a masked two-channel decoupling framework based on deep neural networks to solve this problem. The core innovation of our method lies in decoupling the single-channel view-level …

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