Image Similarity Using an Ensemble of Context-Sensitive Models

Context-sensitive models fine-tuned on specific reference images can improve local performance on similar unseen triples, but not global performance on random triples. An ensemble of these context-sensitive models can effectively improve the global performance on random triples.