Vinicius Atsushi Sato Kawai

Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification

Extensive experimental evaluation demonstrates that the proposed Context-Aware representations not only provide intrinsic interpretability and dimensionality reduction but also maintain or enhance effectiveness in downstream tasks, specifically in image retrieval and semi-supervised classification using Graph Convolutional Networks (GCNs).