2019
Learning With Average Precision: Training Image Retrieval With a Listwise Loss
ICCV 2019poster
Image retrieval can be formulated as a ranking problem where the goal is to order database images by decreasing similarity to the query. Recent deep models for image retrieval have outperformed traditional methods by leveraging ranking-tailored loss functions, but important theoretical and practical…