Inferring visual semantic similarity with deep learning and Wikidata: Introducing imagesim-353?
Finn Årup Nielsen, Lars Kai Hansen · Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) · 2018
Aiming at multi-modal knowledge representation we construct a dataset with pairs of digital photos of objects. We manually score image pairs for semantic object similarity. A pre-trained ImageNet- based deep neural network predicts the objects and we use the output to estimate the similarity between two images. With a linkage between the neural network and Wikidata, we augment the model and incorporate knowledge graph information into the similarity measure. We compare the machine-based predicted similarity with the human-based semantic similarity.