Image emotion multi-label classification based on multi-graph learning

Meixia Wang, Yuhai Zhao, Yejiang Wang, Tongze Xu, Yiming Sun

Abstract: Highlights•Model the image emotion classification problem as a multi-graph learning problem.•Propose a multi-graph multi-label learning algorithm based on global structure.•Build three image emotion datasets in the form of multi-graph multi-label.•Solve the problem of perceptual subjectivity by multi-label classification.•Propose a threshold-based loss function to solve the error accumulation problem.