To this end, we exploit a graph-based, semi-supervised representation learning approach called Graph-Regularized Image Semantic Embedding (Graph-RISE) (Juan et al., 2019).
graph-RISE is based on ResNet-101 where the 10x10x2K feature map is first average pooled to 4x4x2K, and then flattened and projected to a 64-dimensional embedding before the softmax layer.