Abstract: In this paper, a Multi-scale Contrastive Graph Convolutional Network (MC-GCN) method is proposed for unconstrained face recognition with image sets, which takes a set of media (orderless ...

improved sensitivity to change in GORD symptoms, and greater ease in administration compared with visual analogue or other types of response scales. gastro-oesophageal reflux disease Likert scales ...

However, existing methods lack the consideration of multi-scale information and tend to focus on extracting local graph features, especially overlooking the interdependencies between graph-level ...